Pandas Profiling Report

Dataset statistics

Number of variables	70
Number of observations	19595
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	10.6 MiB
Average record size in memory	568.0 B

Variable types

Numeric	25
Text	21
DateTime	2
Categorical	8
Unsupported	12
Boolean	2

Alerts

`latitude` is highly overall correlated with `longitude`	High correlation
`longitude` is highly overall correlated with `latitude`	High correlation
`accommodates` is highly overall correlated with `price`	High correlation
`price` is highly overall correlated with `accommodates`	High correlation
`minimum_nights` is highly overall correlated with `minimum_minimum_nights` and 2 other fields	High correlation
`maximum_nights` is highly overall correlated with `minimum_maximum_nights` and 2 other fields	High correlation
`minimum_minimum_nights` is highly overall correlated with `minimum_nights` and 2 other fields	High correlation
`maximum_minimum_nights` is highly overall correlated with `minimum_nights` and 2 other fields	High correlation
`minimum_maximum_nights` is highly overall correlated with `maximum_nights` and 2 other fields	High correlation
`maximum_maximum_nights` is highly overall correlated with `maximum_nights` and 2 other fields	High correlation
`minimum_nights_avg_ntm` is highly overall correlated with `minimum_nights` and 2 other fields	High correlation
`maximum_nights_avg_ntm` is highly overall correlated with `maximum_nights` and 2 other fields	High correlation
`availability_30` is highly overall correlated with `availability_60` and 3 other fields	High correlation
`availability_60` is highly overall correlated with `availability_30` and 3 other fields	High correlation
`availability_90` is highly overall correlated with `availability_30` and 3 other fields	High correlation
`availability_365` is highly overall correlated with `availability_30` and 3 other fields	High correlation
`number_of_reviews` is highly overall correlated with `number_of_reviews_ltm` and 1 other fields	High correlation
`number_of_reviews_ltm` is highly overall correlated with `number_of_reviews` and 1 other fields	High correlation
`number_of_reviews_l30d` is highly overall correlated with `number_of_reviews` and 1 other fields	High correlation
`calculated_host_listings_count` is highly overall correlated with `calculated_host_listings_count_entire_homes`	High correlation
`calculated_host_listings_count_entire_homes` is highly overall correlated with `calculated_host_listings_count`	High correlation
`source` is highly overall correlated with `availability_30` and 3 other fields	High correlation
`host_verifications` is highly overall correlated with `host_has_profile_pic` and 1 other fields	High correlation
`host_has_profile_pic` is highly overall correlated with `host_verifications` and 1 other fields	High correlation
`host_identity_verified` is highly overall correlated with `host_verifications` and 1 other fields	High correlation
`room_type` is highly overall correlated with `bathrooms_text`	High correlation
`bathrooms_text` is highly overall correlated with `room_type`	High correlation
`source` is highly imbalanced (57.1%)	Imbalance
`host_verifications` is highly imbalanced (69.2%)	Imbalance
`host_has_profile_pic` is highly imbalanced (88.5%)	Imbalance
`host_identity_verified` is highly imbalanced (55.0%)	Imbalance
`room_type` is highly imbalanced (59.9%)	Imbalance
`bathrooms_text` is highly imbalanced (50.7%)	Imbalance
`has_availability` is highly imbalanced (82.9%)	Imbalance
`minimum_minimum_nights` is highly skewed (γ1 = 20.34541596)	Skewed
`id` has unique values	Unique
`listing_url` has unique values	Unique
`host_listings_count` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`host_total_listings_count` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`bedrooms` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`beds` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_rating` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_accuracy` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_cleanliness` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_checkin` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_communication` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_location` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`review_scores_value` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`reviews_per_month` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`availability_30` has 3821 (19.5%) zeros	Zeros
`availability_60` has 3149 (16.1%) zeros	Zeros
`availability_90` has 2694 (13.7%) zeros	Zeros
`availability_365` has 1752 (8.9%) zeros	Zeros
`number_of_reviews` has 5291 (27.0%) zeros	Zeros
`number_of_reviews_ltm` has 7356 (37.5%) zeros	Zeros
`number_of_reviews_l30d` has 13624 (69.5%) zeros	Zeros
`calculated_host_listings_count_entire_homes` has 2928 (14.9%) zeros	Zeros
`calculated_host_listings_count_private_rooms` has 14342 (73.2%) zeros	Zeros
`calculated_host_listings_count_shared_rooms` has 19063 (97.3%) zeros	Zeros

Reproduction

Analysis started	2023-10-25 00:46:26.805339
Analysis finished	2023-10-25 00:48:33.490812
Duration	2 minutes and 6.69 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

id
Real number (ℝ)

UNIQUE

Distinct	19595
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.406311 × 10¹⁷

Minimum	17878
Maximum	9.8555511 × 10¹⁷
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	17878
5-th percentile	3000177.2
Q1	32865582
median	6.2457727 × 10¹⁷
Q3	8.1437213 × 10¹⁷
95-th percentile	9.5554878 × 10¹⁷
Maximum	9.8555511 × 10¹⁷
Range	9.8555511 × 10¹⁷
Interquartile range (IQR)	8.1437213 × 10¹⁷

Descriptive statistics

Standard deviation	4.0411467 × 10¹⁷
Coefficient of variation (CV)	0.91712697
Kurtosis	-1.838775
Mean	4.406311 × 10¹⁷
Median Absolute Deviation (MAD)	3.2838045 × 10¹⁷
Skewness	-0.089006157
Sum	1.0902249 × 10¹⁸
Variance	1.6330867 × 10³⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
231497	1	< 0.1%
7.744843876 × 10¹⁷	1	< 0.1%
7.745524781 × 10¹⁷	1	< 0.1%
7.745491345 × 10¹⁷	1	< 0.1%
7.745008089 × 10¹⁷	1	< 0.1%
7.711880406 × 10¹⁷	1	< 0.1%
7.711878088 × 10¹⁷	1	< 0.1%
7.744955844 × 10¹⁷	1	< 0.1%
7.74491318 × 10¹⁷	1	< 0.1%
7.711768382 × 10¹⁷	1	< 0.1%
Other values (19585)	19585	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17878	1	< 0.1%
25026	1	< 0.1%
35764	1	< 0.1%
48305	1	< 0.1%
48901	1	< 0.1%
49179	1	< 0.1%
53533	1	< 0.1%
60718	1	< 0.1%
65546	1	< 0.1%
66797	1	< 0.1%

Value	Count	Frequency (%)
9.855551071 × 10¹⁷	1	< 0.1%
9.855103616 × 10¹⁷	1	< 0.1%
9.855076966 × 10¹⁷	1	< 0.1%
9.853409915 × 10¹⁷	1	< 0.1%
9.850642915 × 10¹⁷	1	< 0.1%
9.849783744 × 10¹⁷	1	< 0.1%
9.849547869 × 10¹⁷	1	< 0.1%
9.849146485 × 10¹⁷	1	< 0.1%
9.848409326 × 10¹⁷	1	< 0.1%
9.848131727 × 10¹⁷	1	< 0.1%

listing_url
Text

UNIQUE

Distinct	19595
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	47
Median length	47
Mean length	42.440061
Min length	34

Characters and Unicode

Total characters	831613
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19595 ?
Unique (%)	100.0%

Sample

1st row	https://www.airbnb.com/rooms/231497
2nd row	https://www.airbnb.com/rooms/231516
3rd row	https://www.airbnb.com/rooms/236991
4th row	https://www.airbnb.com/rooms/17878
5th row	https://www.airbnb.com/rooms/25026

Value	Count	Frequency (%)
https://www.airbnb.com/rooms/231497	1	< 0.1%
https://www.airbnb.com/rooms/48901	1	< 0.1%
https://www.airbnb.com/rooms/25026	1	< 0.1%
https://www.airbnb.com/rooms/238802	1	< 0.1%
https://www.airbnb.com/rooms/239531	1	< 0.1%
https://www.airbnb.com/rooms/35764	1	< 0.1%
https://www.airbnb.com/rooms/245951	1	< 0.1%
https://www.airbnb.com/rooms/48305	1	< 0.1%
https://www.airbnb.com/rooms/247052	1	< 0.1%
https://www.airbnb.com/rooms/247779	1	< 0.1%
Other values (19585)	19585	99.9%

Most occurring characters

Value	Count	Frequency (%)
/	78380	9.4%
o	58785	7.1%
w	58785	7.1%
m	39190	4.7%
s	39190	4.7%
.	39190	4.7%
t	39190	4.7%
r	39190	4.7%
b	39190	4.7%
8	27348	3.3%
Other values (16)	373175	44.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	431090	51.8%
Decimal Number	263358	31.7%
Other Punctuation	137165	16.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	58785	13.6%
w	58785	13.6%
m	39190	9.1%
s	39190	9.1%
t	39190	9.1%
r	39190	9.1%
b	39190	9.1%
h	19595	4.5%
n	19595	4.5%
i	19595	4.5%
Other values (3)	58785	13.6%

Decimal Number

Value	Count	Frequency (%)
8	27348	10.4%
7	27298	10.4%
9	26811	10.2%
1	26439	10.0%
5	26353	10.0%
2	26167	9.9%
6	26156	9.9%
4	26061	9.9%
3	25940	9.8%
0	24785	9.4%

Other Punctuation

Value	Count	Frequency (%)
/	78380	57.1%
.	39190	28.6%
:	19595	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	431090	51.8%
Common	400523	48.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	78380	19.6%
.	39190	9.8%
8	27348	6.8%
7	27298	6.8%
9	26811	6.7%
1	26439	6.6%
5	26353	6.6%
2	26167	6.5%
6	26156	6.5%
4	26061	6.5%
Other values (3)	70320	17.6%

Latin

Value	Count	Frequency (%)
o	58785	13.6%
w	58785	13.6%
m	39190	9.1%
s	39190	9.1%
t	39190	9.1%
r	39190	9.1%
b	39190	9.1%
h	19595	4.5%
n	19595	4.5%
i	19595	4.5%
Other values (3)	58785	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	831613	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	78380	9.4%
o	58785	7.1%
w	58785	7.1%
m	39190	4.7%
s	39190	4.7%
.	39190	4.7%
t	39190	4.7%
r	39190	4.7%
b	39190	4.7%
8	27348	3.3%
Other values (16)	373175	44.9%

last_scraped
Date

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Minimum	2023-09-22 00:00:00
Maximum	2023-09-23 00:00:00

Histogram

Histogram with fixed size bins (bins=2)

source
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

city scrape	17875
previous scrape	1720

Length

Max length	15
Median length	11
Mean length	11.35111
Min length	11

Characters and Unicode

Total characters	222425
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	city scrape
2nd row	city scrape
3rd row	city scrape
4th row	city scrape
5th row	city scrape

Common Values

Value	Count	Frequency (%)
city scrape	17875	91.2%
previous scrape	1720	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
scrape	19595	50.0%
city	17875	45.6%
previous	1720	4.4%

Most occurring characters

Value	Count	Frequency (%)
c	37470	16.8%
s	21315	9.6%
r	21315	9.6%
p	21315	9.6%
e	21315	9.6%
i	19595	8.8%
	19595	8.8%
a	19595	8.8%
t	17875	8.0%
y	17875	8.0%
Other values (3)	5160	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	202830	91.2%
Space Separator	19595	8.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	37470	18.5%
s	21315	10.5%
r	21315	10.5%
p	21315	10.5%
e	21315	10.5%
i	19595	9.7%
a	19595	9.7%
t	17875	8.8%
y	17875	8.8%
v	1720	0.8%
Other values (2)	3440	1.7%

Space Separator

Value	Count	Frequency (%)
	19595	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	202830	91.2%
Common	19595	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	37470	18.5%
s	21315	10.5%
r	21315	10.5%
p	21315	10.5%
e	21315	10.5%
i	19595	9.7%
a	19595	9.7%
t	17875	8.8%
y	17875	8.8%
v	1720	0.8%
Other values (2)	3440	1.7%

Common

Value	Count	Frequency (%)
	19595	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	222425	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	37470	16.8%
s	21315	9.6%
r	21315	9.6%
p	21315	9.6%
e	21315	9.6%
i	19595	8.8%
	19595	8.8%
a	19595	8.8%
t	17875	8.0%
y	17875	8.0%
Other values (3)	5160	2.3%

name
Text

Distinct	8325
Distinct (%)	42.5%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	168
Median length	93
Mean length	63.299923
Min length	31

Characters and Unicode

Total characters	1240362
Distinct characters	84
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6511 ?
Unique (%)	33.2%

Sample

1st row	Rental unit in Rio de Janeiro · ★4.73 · 1 bedroom · 1 bed · 1 bath
2nd row	Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed
3rd row	Rental unit in Rio de Janeiro · ★4.89 · 1 bedroom · 4 beds · 1 bath
4th row	Condo in Rio de Janeiro · ★4.70 · 2 bedrooms · 2 beds · 1 bath
5th row	Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed · 1 bath

Value	Count	Frequency (%)
·	71010	23.2%
1	29274	9.5%
in	19595	6.4%
2	15256	5.0%
rental	14595	4.8%
unit	14595	4.8%
rio	13425	4.4%
de	13095	4.3%
janeiro	13044	4.3%
beds	12848	4.2%
Other values (425)	89865	29.3%

Most occurring characters

Value	Count	Frequency (%)
	287086	23.1%
e	92429	7.5%
o	75335	6.1%
·	71010	5.7%
a	69278	5.6%
n	68854	5.6%
i	65460	5.3%
b	60862	4.9%
d	58010	4.7%
t	54703	4.4%
Other values (74)	337335	27.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	711017	57.3%
Space Separator	287086	23.1%
Decimal Number	89584	7.2%
Other Punctuation	84208	6.8%
Uppercase Letter	56077	4.5%
Other Symbol	12320	1.0%
Dash Punctuation	55	< 0.1%
Open Punctuation	5	< 0.1%
Close Punctuation	5	< 0.1%
Other Letter	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	92429	13.0%
o	75335	10.6%
a	69278	9.7%
n	68854	9.7%
i	65460	9.2%
b	60862	8.6%
d	58010	8.2%
t	54703	7.7%
r	40050	5.6%
s	32516	4.6%
Other values (26)	93520	13.2%

Uppercase Letter

Value	Count	Frequency (%)
R	28396	50.6%
J	13352	23.8%
C	4107	7.3%
H	1761	3.1%
B	1594	2.8%
N	1573	2.8%
S	1520	2.7%
T	974	1.7%
L	952	1.7%
I	621	1.1%
Other values (13)	1227	2.2%

Decimal Number

Value	Count	Frequency (%)
1	31364	35.0%
2	16765	18.7%
4	10830	12.1%
5	8025	9.0%
3	8001	8.9%
0	4478	5.0%
8	2968	3.3%
9	2520	2.8%
7	2462	2.7%
6	2171	2.4%

Other Punctuation

Value	Count	Frequency (%)
·	71010	84.3%
.	13138	15.6%
,	54	0.1%
/	5	< 0.1%
:	1	< 0.1%

Other Letter

Value	Count	Frequency (%)
里	1	20.0%
约	1	20.0%
热	1	20.0%
内	1	20.0%
卢	1	20.0%

Space Separator

Value	Count	Frequency (%)
	287086	100.0%

Other Symbol

Value	Count	Frequency (%)
★	12320	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	55	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	767094	61.8%
Common	473263	38.2%
Han	5	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	92429	12.0%
o	75335	9.8%
a	69278	9.0%
n	68854	9.0%
i	65460	8.5%
b	60862	7.9%
d	58010	7.6%
t	54703	7.1%
r	40050	5.2%
s	32516	4.2%
Other values (49)	149597	19.5%

Common

Value	Count	Frequency (%)
	287086	60.7%
·	71010	15.0%
1	31364	6.6%
2	16765	3.5%
.	13138	2.8%
★	12320	2.6%
4	10830	2.3%
5	8025	1.7%
3	8001	1.7%
0	4478	0.9%
Other values (10)	10246	2.2%

Han

Value	Count	Frequency (%)
里	1	20.0%
约	1	20.0%
热	1	20.0%
内	1	20.0%
卢	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1156461	93.2%
None	71576	5.8%
Misc Symbols	12320	1.0%
CJK	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	287086	24.8%
e	92429	8.0%
o	75335	6.5%
a	69278	6.0%
n	68854	6.0%
i	65460	5.7%
b	60862	5.3%
d	58010	5.0%
t	54703	4.7%
r	40050	3.5%
Other values (57)	284394	24.6%

None

Value	Count	Frequency (%)
·	71010	99.2%
á	347	0.5%
ó	81	0.1%
ã	64	0.1%
â	38	0.1%
é	12	< 0.1%
í	10	< 0.1%
ú	7	< 0.1%
ç	4	< 0.1%
ê	2	< 0.1%

Misc Symbols

Value	Count	Frequency (%)
★	12320	100.0%

CJK

Value	Count	Frequency (%)
里	1	20.0%
约	1	20.0%
热	1	20.0%
内	1	20.0%
卢	1	20.0%

description
Text

Distinct	18101
Distinct (%)	92.4%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	970
Median length	744
Mean length	518.51666
Min length	0

Characters and Unicode

Total characters	10160334
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17843 ?
Unique (%)	91.1%

Sample

1st row	this is a big studio at the end of copacabana walking distance to arpoador and ipanema which can accomodate persons in a double bed and another on couches which can be opened to sleep onclose to commercial area and public transportationthe spacespacious flat with double bed air conditioner tv linen ceiling fan small kitchen and bathroom there is also sofabed which can accommodate more people for an additional charge of us each hour doorman walking distance to ipanema the flat is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you also have means of transport to anywhere in rio buses subway theres is a subway station two blocks away from the flat and taxis you are very close to the fortress of copacabana a main touristic attraction where you ha
2nd row	special location of the building on copacabana beach although the apartment does not have an ocean view but its great for people who love the sea and for the ones staying for new years accomodates up to personsthe spacespacious apartment with one bedroom comfortable double bed air conditioner tv linenlivingroom with a double sofabed more people can be accommodated small kitchen bathroom ceiling fans hour doorman walking distance to ipanema the building is on copacabana beach but the apartment does not have bech view its at the back of the building facing the street behindthe apartment is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you are very close to the fortress of copacabana a main tourist attraction where you have the most fantastic view of the famous copacab
3rd row	aconchegante amplo bsico arejado iluminado com luz natural em prdio seguro e familiar prdio com portaria horas e cameras de segurana em todos os andares do edifcio tudo isto em copacabana a quase quadra do mar o segundo prdio da segunda quadra da praia est localizado na av prado junior quase esquina com av nsra de copacabanathe spaceo apartamento possui moblia bsica mas a necessria para voce se sentir em um espao limpo confortvel e aconchegante tambm tem os eletrodomesticos bsicos que no podem faltar em um apto como microondas cafeteira eltrica mquina de lavar fogo tv e geladeira todos a volts e um guardaroupas grande onde voc pode colocar suas malas roupas e pertences na sala h uma mesa com cadeiras um sof cama casal tipo fouton no quarto uma cama box de casal ortobom master pocket de molas ensacadas e camas de solteiro uma delas ortobom e bicama o apto tambm tem ar condicionado e ventil
4th row	please note that elevated rates applies for new years and carnival price depends on length of stay and number of people generally i prefer a stay for week or more and a maximum of people at the most contact me and we will discuss bright and sunny large balcony square meters high speed wifi up to mb smart tv you can watch netflix etc if you have an account h doorman minute to walk to copacabana beach silent split air conditioning best spot in riothe space beautiful sunny bedroom square meters in h doorman building min to walk to copacabana beach spacious living room bedrooms with fullsize beds each sleeps large balcony which looks out on pedestrian street no traffic priceless in rio apts with sea view are noisy because of traffic split air condition in each room almost silent like in a hotel smart t
5th row	fully renovated in dec new kitchen new bathroom new flooring o apto foi todo renovado piso banheiro e cozinha novos em dez se vc nao tem opiniario no airbnb e nunca usou antes por favor mande mensagem antes falando quem vc our apartment is a little gem everyone loves staying there best location blocks to the subway blocks to the beach close to bars restaurants supermarkets subway wifi cable tv air con and fanthe spacethis newly renovated studio fully renovated dec is in the best location of copacabana situated on a quieter street but just off the main streets right in the middle of everything blocks from the beach block from the subway cantagalo station which places you just a stop away from ipanema you can just walk there too no need to hop on the subway really very close to all local bars and restaurants and very close to ipanema and lagoa walking dis

Value	Count	Frequency (%)
de	67338	4.1%
e	64840	3.9%
a	40594	2.5%
com	35817	2.2%
the	22656	1.4%
and	21534	1.3%
da	21085	1.3%
do	20973	1.3%
para	20478	1.2%
o	16745	1.0%
Other values (59258)	1315627	79.8%

Most occurring characters

Value	Count	Frequency (%)
	1720285	16.9%
a	1136007	11.2%
e	917043	9.0%
o	864962	8.5%
r	598552	5.9%
s	564500	5.6%
i	553159	5.4%
t	532041	5.2%
n	466047	4.6%
c	398838	3.9%
Other values (19)	2408900	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8439811	83.1%
Space Separator	1720479	16.9%
Control	44	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1136007	13.5%
e	917043	10.9%
o	864962	10.2%
r	598552	7.1%
s	564500	6.7%
i	553159	6.6%
t	532041	6.3%
n	466047	5.5%
c	398838	4.7%
d	396336	4.7%
Other values (16)	2012326	23.8%

Space Separator

Value	Count	Frequency (%)
	1720285	> 99.9%
	194	< 0.1%

Control

Value	Count	Frequency (%)
	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8439811	83.1%
Common	1720523	16.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1136007	13.5%
e	917043	10.9%
o	864962	10.2%
r	598552	7.1%
s	564500	6.7%
i	553159	6.6%
t	532041	6.3%
n	466047	5.5%
c	398838	4.7%
d	396336	4.7%
Other values (16)	2012326	23.8%

Common

Value	Count	Frequency (%)
	1720285	> 99.9%
	194	< 0.1%
	44	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10160140	> 99.9%
None	194	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1720285	16.9%
a	1136007	11.2%
e	917043	9.0%
o	864962	8.5%
r	598552	5.9%
s	564500	5.6%
i	553159	5.4%
t	532041	5.2%
n	466047	4.6%
c	398838	3.9%
Other values (18)	2408706	23.7%

None

Value	Count	Frequency (%)
	194	100.0%

neighborhood_overview
Text

Distinct	8646
Distinct (%)	44.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	1000
Median length	7
Mean length	165.81153
Min length	1

Characters and Unicode

Total characters	3249077
Distinct characters	260
Distinct categories	21 ?
Distinct scripts	3 ?
Distinct blocks	15 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8202 ?
Unique (%)	41.9%

Sample

1st row	no_info
2nd row	no_info
3rd row	Copacabana, apelidada a princesinha do mar, faz juz ao apelido.<br />Além de possuir uma das praias mais famosas e charmosas do Rio de Janeiro fornece ao turista ampla estrutura com variedade de restaurantes, agências de turismos, casas de câmbio, supermercados, drogarias, e a poucos passos um grande shopping (Rio Sul) e etc.
4th row	This is the one of the bests spots in Rio. Because of the large balcony and proximity to the beach, it has huge advantages in the current situation.
5th row	Copacabana is a lively neighborhood and the apartment is located very close to an area in Copa full of bars, cafes and restaurants at Rua Bolivar and Domingos Ferreira. Copacabana never sleeps, there is always movement and it's a great mix of all kinds of people.

Value	Count	Frequency (%)
de	19637	3.7%
e	16662	3.1%
a	13192	2.5%
the	11634	2.2%
do	11241	2.1%
no_info	9827	1.8%
da	8935	1.7%
o	8434	1.6%
and	7139	1.3%
é	6030	1.1%
Other values (20751)	424244	79.0%

Most occurring characters

Value	Count	Frequency (%)
	521367	16.0%
a	320223	9.9%
o	259263	8.0%
e	247976	7.6%
r	192870	5.9%
i	175865	5.4%
s	170853	5.3%
n	151702	4.7%
t	139905	4.3%
d	113943	3.5%
Other values (250)	955110	29.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2461826	75.8%
Space Separator	521652	16.1%
Uppercase Letter	115041	3.5%
Other Punctuation	94084	2.9%
Math Symbol	23051	0.7%
Decimal Number	14224	0.4%
Connector Punctuation	9911	0.3%
Dash Punctuation	3332	0.1%
Open Punctuation	2481	0.1%
Close Punctuation	2479	0.1%
Other values (11)	996	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	320223	13.0%
o	259263	10.5%
e	247976	10.1%
r	192870	7.8%
i	175865	7.1%
s	170853	6.9%
n	151702	6.2%
t	139905	5.7%
d	113943	4.6%
m	89263	3.6%
Other values (64)	599963	24.4%

Other Symbol

Value	Count	Frequency (%)
✅	10	7.0%
🏖	9	6.3%
°	8	5.6%
✓	8	5.6%
☆	7	4.9%
◘	6	4.2%
♡	6	4.2%
❤	6	4.2%
★	5	3.5%
🏝	5	3.5%
Other values (52)	73	51.0%

Uppercase Letter

Value	Count	Frequency (%)
C	11603	10.1%
R	10436	9.1%
A	10139	8.8%
B	8209	7.1%
P	7938	6.9%
S	7515	6.5%
O	6392	5.6%
T	6370	5.5%
I	6195	5.4%
L	5819	5.1%
Other values (40)	34425	29.9%

Other Punctuation

Value	Count	Frequency (%)
,	47537	50.5%
.	27129	28.8%
/	12171	12.9%
!	2268	2.4%
:	1513	1.6%
"	1085	1.2%
'	1024	1.1%
;	603	0.6%
*	262	0.3%
•	146	0.2%
Other values (9)	346	0.4%

Decimal Number

Value	Count	Frequency (%)
0	3412	24.0%
2	2413	17.0%
1	2384	16.8%
5	1918	13.5%
4	1317	9.3%
3	985	6.9%
6	492	3.5%
8	433	3.0%
7	430	3.0%
9	422	3.0%
Other values (3)	18	0.1%

Math Symbol

Value	Count	Frequency (%)
>	11538	50.1%
<	11442	49.6%
+	30	0.1%
=	22	0.1%
→	10	< 0.1%
\|	8	< 0.1%
~	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	3175	95.3%
–	120	3.6%
—	36	1.1%
―	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	2441	98.5%
]	36	1.5%
}	1	< 0.1%
》	1	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
´	71	81.6%
`	13	14.9%
^	2	2.3%
🏻	1	1.1%

Open Punctuation

Value	Count	Frequency (%)
(	2441	98.4%
[	38	1.5%
„	2	0.1%

Final Punctuation

Value	Count	Frequency (%)
’	186	49.5%
”	186	49.5%
»	4	1.1%

Nonspacing Mark

Value	Count	Frequency (%)
️	21	77.8%
́	4	14.8%
̃	2	7.4%

Space Separator

Value	Count	Frequency (%)
	521367	99.9%
	285	0.1%

Initial Punctuation

Value	Count	Frequency (%)
“	205	93.6%
‘	14	6.4%

Format

Value	Count	Frequency (%)
	50	96.2%
‍	2	3.8%

Control

Value	Count	Frequency (%)
	20	74.1%
	7	25.9%

Other Letter

Value	Count	Frequency (%)
º	14	70.0%
ª	6	30.0%

Connector Punctuation

Value	Count	Frequency (%)
_	9911	100.0%

Other Number

Value	Count	Frequency (%)
²	30	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	11	100.0%

Modifier Letter

Value	Count	Frequency (%)
ˈ	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2576377	79.3%
Common	672671	20.7%
Inherited	29	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	521367	77.5%
,	47537	7.1%
.	27129	4.0%
/	12171	1.8%
>	11538	1.7%
<	11442	1.7%
_	9911	1.5%
0	3412	0.5%
-	3175	0.5%
(	2441	0.4%
Other values (150)	22548	3.4%

Latin

Value	Count	Frequency (%)
a	320223	12.4%
o	259263	10.1%
e	247976	9.6%
r	192870	7.5%
i	175865	6.8%
s	170853	6.6%
n	151702	5.9%
t	139905	5.4%
d	113943	4.4%
m	89263	3.5%
Other values (86)	714514	27.7%

Inherited

Value	Count	Frequency (%)
️	21	72.4%
́	4	13.8%
‍	2	6.9%
̃	2	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3192959	98.3%
None	54442	1.7%
Punctuation	1022	< 0.1%
Math Alphanum	528	< 0.1%
Dingbats	26	< 0.1%
Misc Symbols	26	< 0.1%
VS	21	< 0.1%
Geometric Shapes	12	< 0.1%
Arrows	10	< 0.1%
Emoticons	9	< 0.1%
Other values (5)	22	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	521367	16.3%
a	320223	10.0%
o	259263	8.1%
e	247976	7.8%
r	192870	6.0%
i	175865	5.5%
s	170853	5.4%
n	151702	4.8%
t	139905	4.4%
d	113943	3.6%
Other values (86)	898992	28.2%

None

Value	Count	Frequency (%)
é	11889	21.8%
á	7852	14.4%
ã	7044	12.9%
ç	6963	12.8%
ó	4343	8.0%
í	4083	7.5%
ô	2638	4.8%
ê	2038	3.7%
õ	1822	3.3%
ú	1706	3.1%
Other values (76)	4064	7.5%

Punctuation

Value	Count	Frequency (%)
“	205	20.1%
’	186	18.2%
”	186	18.2%
•	146	14.3%
–	120	11.7%
…	74	7.2%
	50	4.9%
—	36	3.5%
‘	14	1.4%
„	2	0.2%
Other values (2)	3	0.3%

Math Alphanum

Value	Count	Frequency (%)
𝐚	87	16.5%
𝐞	51	9.7%
𝐫	42	8.0%
𝐭	30	5.7%
𝐨	30	5.7%
𝐧	30	5.7%
𝐢	27	5.1%
𝐜	21	4.0%
𝐡	21	4.0%
𝐮	21	4.0%
Other values (23)	168	31.8%

VS

Value	Count	Frequency (%)
️	21	100.0%

Dingbats

Value	Count	Frequency (%)
✅	10	38.5%
✓	8	30.8%
❤	6	23.1%
❣	1	3.8%
✨	1	3.8%

Arrows

Value	Count	Frequency (%)
→	10	100.0%

Misc Symbols

Value	Count	Frequency (%)
☆	7	26.9%
♡	6	23.1%
★	5	19.2%
☀	3	11.5%
⛵	1	3.8%
⛱	1	3.8%
♀	1	3.8%
♂	1	3.8%
⛰	1	3.8%

Geometric Shapes

Value	Count	Frequency (%)
◘	6	50.0%
■	3	25.0%
►	3	25.0%

IPA Ext

Value	Count	Frequency (%)
ɐ	6	75.0%
ɾ	2	25.0%

Diacriticals

Value	Count	Frequency (%)
́	4	66.7%
̃	2	33.3%

Modifier Letters

Value	Count	Frequency (%)
ˈ	4	100.0%

Emoticons

Value	Count	Frequency (%)
😀	2	22.2%
😊	2	22.2%
😉	2	22.2%
😄	1	11.1%
😎	1	11.1%
😍	1	11.1%

Specials

Value	Count	Frequency (%)
	2	100.0%

Enclosed Alphanum Sup

Value	Count	Frequency (%)
🇧	1	50.0%
🇷	1	50.0%

picture_url
Text

Distinct	19238
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	126
Median length	125
Mean length	92.081245
Min length	61

Characters and Unicode

Total characters	1804332
Distinct characters	42
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18999 ?
Unique (%)	97.0%

Sample

1st row	https://a0.muscache.com/pictures/3582382/ee8acc55_original.jpg
2nd row	https://a0.muscache.com/pictures/3671683/d74b44a4_original.jpg
3rd row	https://a0.muscache.com/pictures/5725a59b-147d-4bf2-99f2-ba67f55ee770.jpg
4th row	https://a0.muscache.com/pictures/65320518/30698f38_original.jpg
5th row	https://a0.muscache.com/pictures/a745aa21-b8dd-4959-a040-eb8e6e6f07ee.jpg

Value	Count	Frequency (%)
https://a0.muscache.com/pictures/miso/hosting-666522668137624620/original/b31cbbbe-504b-4f42-9e6b-97b4532fef05.jpeg	18	0.1%
https://a0.muscache.com/pictures/miso/hosting-725373355070225589/original/f3a45b30-4e6e-45db-bec3-0af0cd1699e6.jpeg	12	0.1%
https://a0.muscache.com/pictures/dc1b2280-007c-426f-ba40-e6288979c77a.jpg	12	0.1%
https://a0.muscache.com/pictures/568254cd-a9c4-4cb9-bbfc-fa7403db3c2a.jpg	6	< 0.1%
https://a0.muscache.com/pictures/4638dc99-3002-484c-a63b-223a994f980a.jpg	6	< 0.1%
https://a0.muscache.com/pictures/miso/hosting-649254747332092573/original/7a335b5c-243b-4582-81c3-6d29336fe2c4.jpeg	5	< 0.1%
https://a0.muscache.com/pictures/28176be0-f475-41b6-9209-cf86dd14420b.jpg	5	< 0.1%
https://a0.muscache.com/pictures/miso/hosting-48093613/original/712ebac1-ef9c-4bd5-bfcd-64bd95382fd0.jpeg	5	< 0.1%
https://a0.muscache.com/pictures/miso/hosting-943516443559063800/original/38febba5-69b8-496b-9c30-cb9a89a8565f.jpeg	5	< 0.1%
https://a0.muscache.com/pictures/miso/hosting-49231675/original/8b68ced1-db1f-4a6d-aa7b-885852288c28.jpeg	5	< 0.1%
Other values (19228)	19516	99.6%

Most occurring characters

Value	Count	Frequency (%)
c	114347	6.3%
/	107524	6.0%
a	90634	5.0%
-	85671	4.7%
e	84197	4.7%
s	77529	4.3%
t	69720	3.9%
0	69440	3.8%
4	69125	3.8%
p	60936	3.4%
Other values (32)	975209	54.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	965971	53.5%
Decimal Number	556441	30.8%
Other Punctuation	185901	10.3%
Dash Punctuation	85671	4.7%
Uppercase Letter	9510	0.5%
Connector Punctuation	838	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	114347	11.8%
a	90634	9.4%
e	84197	8.7%
s	77529	8.0%
t	69720	7.2%
p	60936	6.3%
i	58969	6.1%
o	49869	5.2%
m	47040	4.9%
h	40660	4.2%
Other values (11)	272070	28.2%

Decimal Number

Value	Count	Frequency (%)
0	69440	12.5%
4	69125	12.4%
8	56484	10.2%
9	56039	10.1%
7	51724	9.3%
6	51429	9.2%
5	50989	9.2%
3	50656	9.1%
2	50355	9.0%
1	50200	9.0%

Uppercase Letter

Value	Count	Frequency (%)
H	9443	99.3%
J	16	0.2%
P	16	0.2%
E	16	0.2%
G	16	0.2%
S	3	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
/	107524	57.8%
.	58782	31.6%
:	19595	10.5%

Dash Punctuation

Value	Count	Frequency (%)
-	85671	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	838	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	975481	54.1%
Common	828851	45.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	114347	11.7%
a	90634	9.3%
e	84197	8.6%
s	77529	7.9%
t	69720	7.1%
p	60936	6.2%
i	58969	6.0%
o	49869	5.1%
m	47040	4.8%
h	40660	4.2%
Other values (17)	281580	28.9%

Common

Value	Count	Frequency (%)
/	107524	13.0%
-	85671	10.3%
0	69440	8.4%
4	69125	8.3%
.	58782	7.1%
8	56484	6.8%
9	56039	6.8%
7	51724	6.2%
6	51429	6.2%
5	50989	6.2%
Other values (5)	171644	20.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1804332	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	114347	6.3%
/	107524	6.0%
a	90634	5.0%
-	85671	4.7%
e	84197	4.7%
s	77529	4.3%
t	69720	3.9%
0	69440	3.8%
4	69125	3.8%
p	60936	3.4%
Other values (32)	975209	54.0%

host_id
Real number (ℝ)

Distinct	12464
Distinct (%)	63.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7905336 × 10⁸

Minimum	1671
Maximum	5.3798502 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1671
5-th percentile	2513825
Q1	23670336
median	98289727
Q3	3.3112819 × 10⁸
95-th percentile	4.9797966 × 10⁸
Maximum	5.3798502 × 10⁸
Range	5.3798335 × 10⁸
Interquartile range (IQR)	3.0745785 × 10⁸

Descriptive statistics

Standard deviation	1.7601965 × 10⁸
Coefficient of variation (CV)	0.98305694
Kurtosis	-1.0259321
Mean	1.7905336 × 10⁸
Median Absolute Deviation (MAD)	89313981
Skewness	0.69757981
Sum	3.5085505 × 10¹²
Variance	3.0982916 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6000862	159	0.8%
47584281	116	0.6%
74463624	77	0.4%
30165706	67	0.3%
459544	59	0.3%
12909867	58	0.3%
13580277	49	0.3%
91654021	46	0.2%
532498	46	0.2%
473492239	42	0.2%
Other values (12454)	18876	96.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1671	1	< 0.1%
11739	7	< 0.1%
19065	1	< 0.1%
34105	1	< 0.1%
37072	1	< 0.1%
48024	7	< 0.1%
60098	1	< 0.1%
64036	2	< 0.1%
68997	1	< 0.1%
70933	8	< 0.1%

Value	Count	Frequency (%)
537985018	1	< 0.1%
537957513	1	< 0.1%
537927925	1	< 0.1%
537736368	1	< 0.1%
537574642	1	< 0.1%
537538650	1	< 0.1%
537466326	1	< 0.1%
537324469	1	< 0.1%
537281388	1	< 0.1%
537241274	1	< 0.1%

host_url
Text

Distinct	12464
Distinct (%)	63.6%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	43
Median length	42
Mean length	42.341363
Min length	38

Characters and Unicode

Total characters	829679
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10046 ?
Unique (%)	51.3%

Sample

1st row	https://www.airbnb.com/users/show/1207700
2nd row	https://www.airbnb.com/users/show/1207700
3rd row	https://www.airbnb.com/users/show/1241662
4th row	https://www.airbnb.com/users/show/68997
5th row	https://www.airbnb.com/users/show/102840

Value	Count	Frequency (%)
https://www.airbnb.com/users/show/6000862	159	0.8%
https://www.airbnb.com/users/show/47584281	116	0.6%
https://www.airbnb.com/users/show/74463624	77	0.4%
https://www.airbnb.com/users/show/30165706	67	0.3%
https://www.airbnb.com/users/show/459544	59	0.3%
https://www.airbnb.com/users/show/12909867	58	0.3%
https://www.airbnb.com/users/show/13580277	49	0.3%
https://www.airbnb.com/users/show/91654021	46	0.2%
https://www.airbnb.com/users/show/532498	46	0.2%
https://www.airbnb.com/users/show/473492239	42	0.2%
Other values (12454)	18876	96.3%

Most occurring characters

Value	Count	Frequency (%)
/	97975	11.8%
s	78380	9.4%
w	78380	9.4%
h	39190	4.7%
r	39190	4.7%
t	39190	4.7%
b	39190	4.7%
o	39190	4.7%
.	39190	4.7%
a	19595	2.4%
Other values (18)	320209	38.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	509470	61.4%
Decimal Number	163449	19.7%
Other Punctuation	156760	18.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	78380	15.4%
w	78380	15.4%
h	39190	7.7%
r	39190	7.7%
t	39190	7.7%
b	39190	7.7%
o	39190	7.7%
a	19595	3.8%
p	19595	3.8%
i	19595	3.8%
Other values (5)	97975	19.2%

Decimal Number

Value	Count	Frequency (%)
1	19300	11.8%
4	18418	11.3%
2	18117	11.1%
3	17338	10.6%
5	15741	9.6%
7	15318	9.4%
0	15087	9.2%
6	15065	9.2%
8	14820	9.1%
9	14245	8.7%

Other Punctuation

Value	Count	Frequency (%)
/	97975	62.5%
.	39190	25.0%
:	19595	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	509470	61.4%
Common	320209	38.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	78380	15.4%
w	78380	15.4%
h	39190	7.7%
r	39190	7.7%
t	39190	7.7%
b	39190	7.7%
o	39190	7.7%
a	19595	3.8%
p	19595	3.8%
i	19595	3.8%
Other values (5)	97975	19.2%

Common

Value	Count	Frequency (%)
/	97975	30.6%
.	39190	12.2%
:	19595	6.1%
1	19300	6.0%
4	18418	5.8%
2	18117	5.7%
3	17338	5.4%
5	15741	4.9%
7	15318	4.8%
0	15087	4.7%
Other values (3)	44130	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	829679	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	97975	11.8%
s	78380	9.4%
w	78380	9.4%
h	39190	4.7%
r	39190	4.7%
t	39190	4.7%
b	39190	4.7%
o	39190	4.7%
.	39190	4.7%
a	19595	2.4%
Other values (18)	320209	38.6%

host_name
Text

Distinct	4130
Distinct (%)	21.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	34
Median length	31
Mean length	7.4017862
Min length	1

Characters and Unicode

Total characters	145038
Distinct characters	96
Distinct categories	14 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2377 ?
Unique (%)	12.1%

Sample

1st row	Maria Luiza
2nd row	Maria Luiza
3rd row	Nilda
4th row	Matthias
5th row	Viviane

Value	Count	Frequency (%)
maria	544	2.3%
rio	406	1.7%
ana	316	1.3%
carlos	265	1.1%
luiz	215	0.9%
renato	200	0.8%
paulo	192	0.8%
pedro	182	0.8%
do	175	0.7%
rodrigo	172	0.7%
Other values (3515)	21185	88.8%

Most occurring characters

Value	Count	Frequency (%)
a	21858	15.1%
i	13569	9.4%
e	11476	7.9%
r	10330	7.1%
o	10032	6.9%
n	9732	6.7%
l	7916	5.5%
s	4874	3.4%
u	4283	3.0%
	4275	2.9%
Other values (86)	46693	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116384	80.2%
Uppercase Letter	24048	16.6%
Space Separator	4275	2.9%
Other Punctuation	214	0.1%
Decimal Number	62	< 0.1%
Dash Punctuation	36	< 0.1%
Other Symbol	4	< 0.1%
Other Letter	4	< 0.1%
Close Punctuation	3	< 0.1%
Open Punctuation	3	< 0.1%
Other values (4)	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	21858	18.8%
i	13569	11.7%
e	11476	9.9%
r	10330	8.9%
o	10032	8.6%
n	9732	8.4%
l	7916	6.8%
s	4874	4.2%
u	4283	3.7%
d	3870	3.3%
Other values (30)	18444	15.8%

Uppercase Letter

Value	Count	Frequency (%)
M	2782	11.6%
R	2434	10.1%
A	2410	10.0%
C	1880	7.8%
L	1836	7.6%
S	1257	5.2%
J	1243	5.2%
D	1235	5.1%
F	1159	4.8%
G	1042	4.3%
Other values (21)	6770	28.2%

Decimal Number

Value	Count	Frequency (%)
2	27	43.5%
0	10	16.1%
8	7	11.3%
1	6	9.7%
4	6	9.7%
3	2	3.2%
5	2	3.2%
6	2	3.2%

Other Punctuation

Value	Count	Frequency (%)
&	171	79.9%
.	20	9.3%
/	8	3.7%
,	8	3.7%
'	5	2.3%
@	2	0.9%

Other Letter

Value	Count	Frequency (%)
麟	2	50.0%
一	2	50.0%

Space Separator

Value	Count	Frequency (%)
	4275	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	36	100.0%

Other Symbol

Value	Count	Frequency (%)
®	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140432	96.8%
Common	4602	3.2%
Han	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	21858	15.6%
i	13569	9.7%
e	11476	8.2%
r	10330	7.4%
o	10032	7.1%
n	9732	6.9%
l	7916	5.6%
s	4874	3.5%
u	4283	3.0%
d	3870	2.8%
Other values (61)	42492	30.3%

Common

Value	Count	Frequency (%)
	4275	92.9%
&	171	3.7%
-	36	0.8%
2	27	0.6%
.	20	0.4%
0	10	0.2%
/	8	0.2%
,	8	0.2%
8	7	0.2%
1	6	0.1%
Other values (13)	34	0.7%

Han

Value	Count	Frequency (%)
麟	2	50.0%
一	2	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	143662	99.1%
None	1371	0.9%
CJK	4	< 0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	21858	15.2%
i	13569	9.4%
e	11476	8.0%
r	10330	7.2%
o	10032	7.0%
n	9732	6.8%
l	7916	5.5%
s	4874	3.4%
u	4283	3.0%
	4275	3.0%
Other values (62)	45317	31.5%

None

Value	Count	Frequency (%)
é	397	29.0%
á	299	21.8%
í	200	14.6%
ã	126	9.2%
ô	101	7.4%
ç	52	3.8%
ú	47	3.4%
ó	46	3.4%
â	29	2.1%
ê	23	1.7%
Other values (11)	51	3.7%

CJK

Value	Count	Frequency (%)
麟	2	50.0%
一	2	50.0%

Punctuation

Value	Count	Frequency (%)
’	1	100.0%

host_since
Text

Distinct	3941
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	10
Median length	10
Mean length	9.9996938
Min length	7

Characters and Unicode

Total characters	195944
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	799 ?
Unique (%)	4.1%

Sample

1st row	2011-09-25
2nd row	2011-09-25
3rd row	2011-10-03
4th row	2010-01-08
5th row	2010-04-03

Value	Count	Frequency (%)
2013-04-19	167	0.9%
2015-10-27	123	0.6%
2016-05-28	88	0.4%
2015-03-28	70	0.4%
2014-03-07	68	0.3%
2014-04-15	60	0.3%
2011-03-23	60	0.3%
2014-03-26	57	0.3%
2022-08-05	53	0.3%
2016-08-24	49	0.3%
Other values (3931)	18800	95.9%

Most occurring characters

Value	Count	Frequency (%)
0	44115	22.5%
-	39186	20.0%
2	38966	19.9%
1	33389	17.0%
3	6897	3.5%
6	6602	3.4%
4	5878	3.0%
5	5734	2.9%
7	5219	2.7%
9	5020	2.6%
Other values (6)	4938	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	156744	80.0%
Dash Punctuation	39186	20.0%
Lowercase Letter	12	< 0.1%
Connector Punctuation	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	44115	28.1%
2	38966	24.9%
1	33389	21.3%
3	6897	4.4%
6	6602	4.2%
4	5878	3.8%
5	5734	3.7%
7	5219	3.3%
9	5020	3.2%
8	4924	3.1%

Lowercase Letter

Value	Count	Frequency (%)
n	4	33.3%
o	4	33.3%
i	2	16.7%
f	2	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	39186	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	195932	> 99.9%
Latin	12	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	44115	22.5%
-	39186	20.0%
2	38966	19.9%
1	33389	17.0%
3	6897	3.5%
6	6602	3.4%
4	5878	3.0%
5	5734	2.9%
7	5219	2.7%
9	5020	2.6%
Other values (2)	4926	2.5%

Latin

Value	Count	Frequency (%)
n	4	33.3%
o	4	33.3%
i	2	16.7%
f	2	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	195944	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	44115	22.5%
-	39186	20.0%
2	38966	19.9%
1	33389	17.0%
3	6897	3.5%
6	6602	3.4%
4	5878	3.0%
5	5734	2.9%
7	5219	2.7%
9	5020	2.6%
Other values (6)	4938	2.5%

host_location
Text

Distinct	388
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	34
Median length	22
Mean length	18.344527
Min length	5

Characters and Unicode

Total characters	359461
Distinct characters	71
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	207 ?
Unique (%)	1.1%

Sample

1st row	Rio de Janeiro, Brazil
2nd row	Rio de Janeiro, Brazil
3rd row	Rio de Janeiro, Brazil
4th row	Rio de Janeiro, Brazil
5th row	Rio de Janeiro, Brazil

Value	Count	Frequency (%)
brazil	14869	23.3%
rio	13376	21.0%
de	12904	20.3%
janeiro	12864	20.2%
no_info	4217	6.6%
of	1173	1.8%
state	1172	1.8%
são	297	0.5%
paulo	291	0.5%
brasília	76	0.1%
Other values (483)	2441	3.8%

Most occurring characters

Value	Count	Frequency (%)
i	46559	13.0%
	44085	12.3%
o	37591	10.5%
a	31006	8.6%
r	29001	8.1%
e	28118	7.8%
n	22212	6.2%
l	15842	4.4%
B	15161	4.2%
z	15029	4.2%
Other values (61)	74857	20.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	250680	69.7%
Uppercase Letter	45486	12.7%
Space Separator	44085	12.3%
Other Punctuation	14984	4.2%
Connector Punctuation	4217	1.2%
Dash Punctuation	9	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	46559	18.6%
o	37591	15.0%
a	31006	12.4%
r	29001	11.6%
e	28118	11.2%
n	22212	8.9%
l	15842	6.3%
z	15029	6.0%
d	13339	5.3%
f	5400	2.2%
Other values (28)	6583	2.6%

Uppercase Letter

Value	Count	Frequency (%)
B	15161	33.3%
R	13423	29.5%
J	12912	28.4%
S	1638	3.6%
P	487	1.1%
A	236	0.5%
F	221	0.5%
N	203	0.4%
C	189	0.4%
M	176	0.4%
Other values (17)	840	1.8%

Other Punctuation

Value	Count	Frequency (%)
,	14982	> 99.9%
'	1	< 0.1%
.	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	44085	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4217	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	296166	82.4%
Common	63295	17.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	46559	15.7%
o	37591	12.7%
a	31006	10.5%
r	29001	9.8%
e	28118	9.5%
n	22212	7.5%
l	15842	5.3%
B	15161	5.1%
z	15029	5.1%
R	13423	4.5%
Other values (55)	42224	14.3%

Common

Value	Count	Frequency (%)
	44085	69.7%
,	14982	23.7%
_	4217	6.7%
-	9	< 0.1%
'	1	< 0.1%
.	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	358741	99.8%
None	720	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	46559	13.0%
	44085	12.3%
o	37591	10.5%
a	31006	8.6%
r	29001	8.1%
e	28118	7.8%
n	22212	6.2%
l	15842	4.4%
B	15161	4.2%
z	15029	4.2%
Other values (48)	74137	20.7%

None

Value	Count	Frequency (%)
ã	323	44.9%
ó	116	16.1%
í	105	14.6%
ç	44	6.1%
é	40	5.6%
á	35	4.9%
ú	23	3.2%
â	20	2.8%
ü	8	1.1%
ê	3	0.4%
Other values (3)	3	0.4%

host_about
Text

Distinct	4858
Distinct (%)	24.8%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	6323
Median length	7
Mean length	173.96162
Min length	1

Characters and Unicode

Total characters	3408778
Distinct characters	175
Distinct categories	21 ?
Distinct scripts	4 ?
Distinct blocks	8 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3549 ?
Unique (%)	18.1%

Sample

1st row	Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade. Falo e escrevo em Inglês, francês, espanhol e português.
2nd row	Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade. Falo e escrevo em Inglês, francês, espanhol e português.
3rd row	Hellow ! Im Nilda! I love Rio de Janeiro. I work renting apartments for short time. the places are simples! but very clean , safe and well provided with basic staffs to spent a great vacations. Very well located, next to the beach one of the most famous Rio de Janeiro´ s beach: Copacabana you ll have easy and plenty access by bus and others public transportations services to the main and classic touristic points more visited by the travellers in Rio de Janeiro. Welcome to Rio, welcome to Brazil!
4th row	I am a journalist/writer. Lived in NYC for 15 years. I am now based in Rio and published 3 volumes of travel stories on AMAZ0N: "The World Is My Oyster". If you have never been to Rio, check out the first story, and you'll get an idea. Apart from Rio, you'll find 29 other travel stories from all around the globe.
5th row	Hi guys, Viviane is a commercial photographer, an avid world traveler, (a former photographer for Airbnb) and an Airbnb superhost. And a free lance photographer for other wonderful clients. She loves life and meeting people. We work together in providing the best accommodation to people and we are firm believers of enjoying the moment as a prime attitude towards life!

Value	Count	Frequency (%)
de	19506	3.5%
e	19046	3.4%
a	11751	2.1%
no_info	10033	1.8%
and	7895	1.4%
que	7061	1.3%
rio	6505	1.2%
para	5853	1.0%
	5640	1.0%
to	5388	1.0%
Other values (18056)	462736	82.4%

Most occurring characters

Value	Count	Frequency (%)
	536779	15.7%
e	310785	9.1%
a	300595	8.8%
o	272713	8.0%
s	190587	5.6%
i	182487	5.4%
r	178950	5.2%
n	164313	4.8%
t	135087	4.0%
d	114910	3.4%
Other values (165)	1021572	30.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2597513	76.2%
Space Separator	536793	15.7%
Uppercase Letter	106625	3.1%
Other Punctuation	87775	2.6%
Control	36399	1.1%
Connector Punctuation	15986	0.5%
Decimal Number	14522	0.4%
Dash Punctuation	8048	0.2%
Close Punctuation	1835	0.1%
Open Punctuation	1318	< 0.1%
Other values (11)	1964	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	310785	12.0%
a	300595	11.6%
o	272713	10.5%
s	190587	7.3%
i	182487	7.0%
r	178950	6.9%
n	164313	6.3%
t	135087	5.2%
d	114910	4.4%
m	105986	4.1%
Other values (45)	641100	24.7%

Uppercase Letter

Value	Count	Frequency (%)
I	9988	9.4%
R	9802	9.2%
A	9744	9.1%
S	9303	8.7%
E	6094	5.7%
C	5995	5.6%
M	5419	5.1%
J	5222	4.9%
B	5158	4.8%
T	5016	4.7%
Other values (31)	34884	32.7%

Other Punctuation

Value	Count	Frequency (%)
,	37939	43.2%
.	30875	35.2%
!	9313	10.6%
:	2158	2.5%
'	2097	2.4%
/	2059	2.3%
"	739	0.8%
?	663	0.8%
*	555	0.6%
¡	490	0.6%
Other values (9)	887	1.0%

Other Symbol

Value	Count	Frequency (%)
❤	43	32.6%
°	36	27.3%
✔	28	21.2%
⚠	6	4.5%
☺	5	3.8%
⭐	3	2.3%
✨	3	2.3%
☀	2	1.5%
✈	2	1.5%
©	2	1.5%
Other values (2)	2	1.5%

Decimal Number

Value	Count	Frequency (%)
0	3572	24.6%
2	3162	21.8%
1	2387	16.4%
3	1056	7.3%
4	903	6.2%
5	793	5.5%
9	713	4.9%
8	655	4.5%
6	642	4.4%
7	639	4.4%

Math Symbol

Value	Count	Frequency (%)
=	790	88.5%
+	55	6.2%
>	19	2.1%
<	17	1.9%
\|	10	1.1%
~	2	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	1309	99.3%
[	6	0.5%
„	2	0.2%
{	1	0.1%

Modifier Symbol

Value	Count	Frequency (%)
´	313	94.0%
`	14	4.2%
^	4	1.2%
¨	2	0.6%

Dash Punctuation

Value	Count	Frequency (%)
-	8015	99.6%
–	27	0.3%
—	6	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	1819	99.1%
]	15	0.8%
}	1	0.1%

Nonspacing Mark

Value	Count	Frequency (%)
️	67	97.1%
̂	1	1.4%
̃	1	1.4%

Space Separator

Value	Count	Frequency (%)
	536779	> 99.9%
	14	< 0.1%

Control

Value	Count	Frequency (%)
	29620	81.4%
	6779	18.6%

Final Punctuation

Value	Count	Frequency (%)
’	177	53.6%
”	153	46.4%

Initial Punctuation

Value	Count	Frequency (%)
“	168	94.4%
‘	10	5.6%

Other Letter

Value	Count	Frequency (%)
ª	7	58.3%
º	5	41.7%

Connector Punctuation

Value	Count	Frequency (%)
_	15986	100.0%

Format

Value	Count	Frequency (%)
⁠	6	100.0%

Private Use

Value	Count	Frequency (%)
	4	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	4	100.0%

Other Number

Value	Count	Frequency (%)
²	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2704150	79.3%
Common	704555	20.7%
Inherited	69	< 0.1%
Unknown	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	310785	11.5%
a	300595	11.1%
o	272713	10.1%
s	190587	7.0%
i	182487	6.7%
r	178950	6.6%
n	164313	6.1%
t	135087	5.0%
d	114910	4.2%
m	105986	3.9%
Other values (88)	747737	27.7%

Common

Value	Count	Frequency (%)
	536779	76.2%
,	37939	5.4%
.	30875	4.4%
	29620	4.2%
_	15986	2.3%
!	9313	1.3%
-	8015	1.1%
	6779	1.0%
0	3572	0.5%
2	3162	0.4%
Other values (63)	22515	3.2%

Inherited

Value	Count	Frequency (%)
️	67	97.1%
̂	1	1.4%
̃	1	1.4%

Unknown

Value	Count	Frequency (%)
	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3356571	98.5%
None	51396	1.5%
Punctuation	647	< 0.1%
Dingbats	76	< 0.1%
VS	67	< 0.1%
Misc Symbols	15	< 0.1%
PUA	4	< 0.1%
Diacriticals	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	536779	16.0%
e	310785	9.3%
a	300595	9.0%
o	272713	8.1%
s	190587	5.7%
i	182487	5.4%
r	178950	5.3%
n	164313	4.9%
t	135087	4.0%
d	114910	3.4%
Other values (87)	969365	28.9%

None

Value	Count	Frequency (%)
á	7970	15.5%
ç	7687	15.0%
é	7206	14.0%
ã	7109	13.8%
ó	5977	11.6%
ê	4979	9.7%
í	4019	7.8%
õ	1656	3.2%
ú	1353	2.6%
à	775	1.5%
Other values (45)	2665	5.2%

Punctuation

Value	Count	Frequency (%)
’	177	27.4%
“	168	26.0%
”	153	23.6%
•	75	11.6%
–	27	4.2%
…	23	3.6%
‘	10	1.5%
—	6	0.9%
⁠	6	0.9%
„	2	0.3%

VS

Value	Count	Frequency (%)
️	67	100.0%

Dingbats

Value	Count	Frequency (%)
❤	43	56.6%
✔	28	36.8%
✨	3	3.9%
✈	2	2.6%

Misc Symbols

Value	Count	Frequency (%)
⚠	6	40.0%
☺	5	33.3%
☀	2	13.3%
⚘	1	6.7%
♡	1	6.7%

PUA

Value	Count	Frequency (%)
	4	100.0%

Diacriticals

Value	Count	Frequency (%)
̂	1	50.0%
̃	1	50.0%

host_response_time
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

within an hour	9495
no_info	3624
within a few hours	3368
within a day	1907
a few days or more	1201

Length

Max length	18
Median length	14
Mean length	13.443429
Min length	7

Characters and Unicode

Total characters	263424
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	within a few hours
2nd row	within a few hours
3rd row	within an hour
4th row	within an hour
5th row	within a few hours

Common Values

Value	Count	Frequency (%)
within an hour	9495	48.5%
no_info	3624	18.5%
within a few hours	3368	17.2%
within a day	1907	9.7%
a few days or more	1201	6.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
within	14770	25.8%
an	9495	16.6%
hour	9495	16.6%
a	6476	11.3%
few	4569	8.0%
no_info	3624	6.3%
hours	3368	5.9%
day	1907	3.3%
days	1201	2.1%
or	1201	2.1%

Most occurring characters

Value	Count	Frequency (%)
	37712	14.3%
i	33164	12.6%
n	31513	12.0%
h	27633	10.5%
o	22513	8.5%
w	19339	7.3%
a	19079	7.2%
r	15265	5.8%
t	14770	5.6%
u	12863	4.9%
Other values (7)	29573	11.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	222088	84.3%
Space Separator	37712	14.3%
Connector Punctuation	3624	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	33164	14.9%
n	31513	14.2%
h	27633	12.4%
o	22513	10.1%
w	19339	8.7%
a	19079	8.6%
r	15265	6.9%
t	14770	6.7%
u	12863	5.8%
f	8193	3.7%
Other values (5)	17756	8.0%

Space Separator

Value	Count	Frequency (%)
	37712	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3624	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222088	84.3%
Common	41336	15.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	33164	14.9%
n	31513	14.2%
h	27633	12.4%
o	22513	10.1%
w	19339	8.7%
a	19079	8.6%
r	15265	6.9%
t	14770	6.7%
u	12863	5.8%
f	8193	3.7%
Other values (5)	17756	8.0%

Common

Value	Count	Frequency (%)
	37712	91.2%
_	3624	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263424	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	37712	14.3%
i	33164	12.6%
n	31513	12.0%
h	27633	10.5%
o	22513	8.5%
w	19339	7.3%
a	19079	7.2%
r	15265	5.8%
t	14770	5.6%
u	12863	4.9%
Other values (7)	29573	11.2%

host_response_rate
Text

Distinct	92
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	7
Median length	4
Mean length	4.2516969
Min length	2

Characters and Unicode

Total characters	83312
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	100%
2nd row	100%
3rd row	100%
4th row	100%
5th row	100%

Value	Count	Frequency (%)
100	10709	54.7%
no_info	3624	18.5%
0	649	3.3%
90	393	2.0%
99	334	1.7%
97	246	1.3%
80	233	1.2%
50	230	1.2%
98	221	1.1%
96	204	1.0%
Other values (82)	2752	14.0%

Most occurring characters

Value	Count	Frequency (%)
0	23354	28.0%
%	15971	19.2%
1	11071	13.3%
n	7248	8.7%
o	7248	8.7%
_	3624	4.3%
i	3624	4.3%
f	3624	4.3%
9	2604	3.1%
8	1181	1.4%
Other values (6)	3763	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41973	50.4%
Lowercase Letter	21744	26.1%
Other Punctuation	15971	19.2%
Connector Punctuation	3624	4.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	23354	55.6%
1	11071	26.4%
9	2604	6.2%
8	1181	2.8%
7	1028	2.4%
6	765	1.8%
5	703	1.7%
3	498	1.2%
2	420	1.0%
4	349	0.8%

Lowercase Letter

Value	Count	Frequency (%)
n	7248	33.3%
o	7248	33.3%
i	3624	16.7%
f	3624	16.7%

Other Punctuation

Value	Count	Frequency (%)
%	15971	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3624	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	61568	73.9%
Latin	21744	26.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	23354	37.9%
%	15971	25.9%
1	11071	18.0%
_	3624	5.9%
9	2604	4.2%
8	1181	1.9%
7	1028	1.7%
6	765	1.2%
5	703	1.1%
3	498	0.8%
Other values (2)	769	1.2%

Latin

Value	Count	Frequency (%)
n	7248	33.3%
o	7248	33.3%
i	3624	16.7%
f	3624	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	83312	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	23354	28.0%
%	15971	19.2%
1	11071	13.3%
n	7248	8.7%
o	7248	8.7%
_	3624	4.3%
i	3624	4.3%
f	3624	4.3%
9	2604	3.1%
8	1181	1.4%
Other values (6)	3763	4.5%

host_acceptance_rate
Text

Distinct	100
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	7
Median length	3
Mean length	3.7639704
Min length	2

Characters and Unicode

Total characters	73755
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	82%
2nd row	82%
3rd row	96%
4th row	96%
5th row	73%

Value	Count	Frequency (%)
100	5813	29.7%
no_info	2493	12.7%
99	855	4.4%
0	786	4.0%
98	602	3.1%
97	503	2.6%
96	475	2.4%
50	403	2.1%
94	391	2.0%
93	327	1.7%
Other values (90)	6947	35.5%

Most occurring characters

Value	Count	Frequency (%)
%	17102	23.2%
0	13773	18.7%
1	6633	9.0%
9	5675	7.7%
n	4986	6.8%
o	4986	6.8%
8	3059	4.1%
7	2511	3.4%
_	2493	3.4%
i	2493	3.4%
Other values (6)	10044	13.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	39202	53.2%
Other Punctuation	17102	23.2%
Lowercase Letter	14958	20.3%
Connector Punctuation	2493	3.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13773	35.1%
1	6633	16.9%
9	5675	14.5%
8	3059	7.8%
7	2511	6.4%
6	2048	5.2%
5	1821	4.6%
3	1580	4.0%
4	1165	3.0%
2	937	2.4%

Lowercase Letter

Value	Count	Frequency (%)
n	4986	33.3%
o	4986	33.3%
i	2493	16.7%
f	2493	16.7%

Other Punctuation

Value	Count	Frequency (%)
%	17102	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2493	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	58797	79.7%
Latin	14958	20.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
%	17102	29.1%
0	13773	23.4%
1	6633	11.3%
9	5675	9.7%
8	3059	5.2%
7	2511	4.3%
_	2493	4.2%
6	2048	3.5%
5	1821	3.1%
3	1580	2.7%
Other values (2)	2102	3.6%

Latin

Value	Count	Frequency (%)
n	4986	33.3%
o	4986	33.3%
i	2493	16.7%
f	2493	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
%	17102	23.2%
0	13773	18.7%
1	6633	9.0%
9	5675	7.7%
n	4986	6.8%
o	4986	6.8%
8	3059	4.1%
7	2511	3.4%
_	2493	3.4%
i	2493	3.4%
Other values (6)	10044	13.6%

host_is_superhost
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

f	13849
t	5285
no_info	461

Length

Max length	7
Median length	1
Mean length	1.1411585
Min length	1

Characters and Unicode

Total characters	22361
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	f
2nd row	f
3rd row	t
4th row	t
5th row	t

Common Values

Value	Count	Frequency (%)
f	13849	70.7%
t	5285	27.0%
no_info	461	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	13849	70.7%
t	5285	27.0%
no_info	461	2.4%

Most occurring characters

Value	Count	Frequency (%)
f	14310	64.0%
t	5285	23.6%
n	922	4.1%
o	922	4.1%
_	461	2.1%
i	461	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21900	97.9%
Connector Punctuation	461	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	14310	65.3%
t	5285	24.1%
n	922	4.2%
o	922	4.2%
i	461	2.1%

Connector Punctuation

Value	Count	Frequency (%)
_	461	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21900	97.9%
Common	461	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	14310	65.3%
t	5285	24.1%
n	922	4.2%
o	922	4.2%
i	461	2.1%

Common

Value	Count	Frequency (%)
_	461	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22361	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	14310	64.0%
t	5285	23.6%
n	922	4.1%
o	922	4.1%
_	461	2.1%
i	461	2.1%

host_thumbnail_url
Text

Distinct	11997
Distinct (%)	61.2%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	131
Median length	106
Mean length	106.96816
Min length	7

Characters and Unicode

Total characters	2096041
Distinct characters	41
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9617 ?
Unique (%)	49.1%

Sample

1st row	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small
2nd row	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small
3rd row	https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_small
4th row	https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_small
5th row	https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_small

Value	Count	Frequency (%)
https://a0.muscache.com/defaults/user_pic-50x50.png?v=3	533	2.7%
https://a0.muscache.com/im/pictures/user/c1738b63-30f9-40ff-b53a-4ea0640c3beb.jpg?aki_policy=profile_small	159	0.8%
https://a0.muscache.com/im/pictures/user/cb326f23-ef4a-4fee-a71a-8584e5af6815.jpg?aki_policy=profile_small	116	0.6%
https://a0.muscache.com/im/pictures/user/f855bc7e-c7f4-4cb6-8cb5-d81d2a58336a.jpg?aki_policy=profile_small	77	0.4%
https://a0.muscache.com/im/pictures/user/da4143cd-6939-4e65-b412-4f7990518552.jpg?aki_policy=profile_small	67	0.3%
https://a0.muscache.com/im/pictures/user/69eb44d3-3b36-4743-9d01-92bad2fb4a83.jpg?aki_policy=profile_small	59	0.3%
https://a0.muscache.com/im/pictures/user/da4efd54-caaa-4203-970a-8aa4bae02f61.jpg?aki_policy=profile_small	58	0.3%
https://a0.muscache.com/im/pictures/user/user-13580277/original/51401555-7a4b-4067-89e3-3cb405420c16.jpeg?aki_policy=profile_small	49	0.3%
https://a0.muscache.com/im/pictures/user/57b501f7-d78e-4707-af93-dfacb7536fed.jpg?aki_policy=profile_small	46	0.2%
https://a0.muscache.com/im/users/532498/profile_pic/1369411907/original.jpg?aki_policy=profile_small	46	0.2%
Other values (11987)	18385	93.8%

Most occurring characters

Value	Count	Frequency (%)
c	128972	6.2%
/	124976	6.0%
a	118952	5.7%
e	114502	5.5%
i	106311	5.1%
s	99682	4.8%
p	98891	4.7%
l	83007	4.0%
m	77306	3.7%
-	71055	3.4%
Other values (31)	1072387	51.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1317551	62.9%
Decimal Number	422004	20.1%
Other Punctuation	222941	10.6%
Dash Punctuation	71055	3.4%
Connector Punctuation	40647	1.9%
Math Symbol	19593	0.9%
Uppercase Letter	2250	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	128972	9.8%
a	118952	9.0%
e	114502	8.7%
i	106311	8.1%
s	99682	7.6%
p	98891	7.5%
l	83007	6.3%
m	77306	5.9%
r	64205	4.9%
o	63951	4.9%
Other values (13)	361772	27.5%

Decimal Number

Value	Count	Frequency (%)
0	57249	13.6%
4	55644	13.2%
9	40507	9.6%
8	40077	9.5%
3	39832	9.4%
1	39488	9.4%
5	39014	9.2%
2	37198	8.8%
7	36570	8.7%
6	36425	8.6%

Other Punctuation

Value	Count	Frequency (%)
/	124976	56.1%
.	58779	26.4%
?	19593	8.8%
:	19593	8.8%

Dash Punctuation

Value	Count	Frequency (%)
-	71055	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	40647	100.0%

Math Symbol

Value	Count	Frequency (%)
=	19593	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2250	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1319801	63.0%
Common	776240	37.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	128972	9.8%
a	118952	9.0%
e	114502	8.7%
i	106311	8.1%
s	99682	7.6%
p	98891	7.5%
l	83007	6.3%
m	77306	5.9%
r	64205	4.9%
o	63951	4.8%
Other values (14)	364022	27.6%

Common

Value	Count	Frequency (%)
/	124976	16.1%
-	71055	9.2%
.	58779	7.6%
0	57249	7.4%
4	55644	7.2%
_	40647	5.2%
9	40507	5.2%
8	40077	5.2%
3	39832	5.1%
1	39488	5.1%
Other values (7)	207986	26.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2096041	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	128972	6.2%
/	124976	6.0%
a	118952	5.7%
e	114502	5.5%
i	106311	5.1%
s	99682	4.8%
p	98891	4.7%
l	83007	4.0%
m	77306	3.7%
-	71055	3.4%
Other values (31)	1072387	51.2%

host_picture_url
Text

Distinct	11997
Distinct (%)	61.2%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	134
Median length	109
Mean length	109.94065
Min length	7

Characters and Unicode

Total characters	2154287
Distinct characters	41
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9617 ?
Unique (%)	49.1%

Sample

1st row	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium
2nd row	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium
3rd row	https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_x_medium
4th row	https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_x_medium
5th row	https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_x_medium

Value	Count	Frequency (%)
https://a0.muscache.com/defaults/user_pic-225x225.png?v=3	533	2.7%
https://a0.muscache.com/im/pictures/user/c1738b63-30f9-40ff-b53a-4ea0640c3beb.jpg?aki_policy=profile_x_medium	159	0.8%
https://a0.muscache.com/im/pictures/user/cb326f23-ef4a-4fee-a71a-8584e5af6815.jpg?aki_policy=profile_x_medium	116	0.6%
https://a0.muscache.com/im/pictures/user/f855bc7e-c7f4-4cb6-8cb5-d81d2a58336a.jpg?aki_policy=profile_x_medium	77	0.4%
https://a0.muscache.com/im/pictures/user/da4143cd-6939-4e65-b412-4f7990518552.jpg?aki_policy=profile_x_medium	67	0.3%
https://a0.muscache.com/im/pictures/user/69eb44d3-3b36-4743-9d01-92bad2fb4a83.jpg?aki_policy=profile_x_medium	59	0.3%
https://a0.muscache.com/im/pictures/user/da4efd54-caaa-4203-970a-8aa4bae02f61.jpg?aki_policy=profile_x_medium	58	0.3%
https://a0.muscache.com/im/pictures/user/user-13580277/original/51401555-7a4b-4067-89e3-3cb405420c16.jpeg?aki_policy=profile_x_medium	49	0.3%
https://a0.muscache.com/im/pictures/user/57b501f7-d78e-4707-af93-dfacb7536fed.jpg?aki_policy=profile_x_medium	46	0.2%
https://a0.muscache.com/im/users/532498/profile_pic/1369411907/original.jpg?aki_policy=profile_x_medium	46	0.2%
Other values (11987)	18385	93.8%

Most occurring characters

Value	Count	Frequency (%)
e	133562	6.2%
c	128972	6.0%
i	125371	5.8%
/	124976	5.8%
a	99892	4.6%
p	98891	4.6%
m	96366	4.5%
s	80622	3.7%
u	75847	3.5%
-	71055	3.3%
Other values (31)	1118733	51.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1355671	62.9%
Decimal Number	423070	19.6%
Other Punctuation	222941	10.3%
Dash Punctuation	71055	3.3%
Connector Punctuation	59707	2.8%
Math Symbol	19593	0.9%
Uppercase Letter	2250	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	133562	9.9%
c	128972	9.5%
i	125371	9.2%
a	99892	7.4%
p	98891	7.3%
m	96366	7.1%
s	80622	5.9%
u	75847	5.6%
r	64205	4.7%
o	63951	4.7%
Other values (13)	387992	28.6%

Decimal Number

Value	Count	Frequency (%)
0	56183	13.3%
4	55644	13.2%
9	40507	9.6%
8	40077	9.5%
3	39832	9.4%
1	39488	9.3%
2	39330	9.3%
5	39014	9.2%
7	36570	8.6%
6	36425	8.6%

Other Punctuation

Value	Count	Frequency (%)
/	124976	56.1%
.	58779	26.4%
?	19593	8.8%
:	19593	8.8%

Dash Punctuation

Value	Count	Frequency (%)
-	71055	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	59707	100.0%

Math Symbol

Value	Count	Frequency (%)
=	19593	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2250	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1357921	63.0%
Common	796366	37.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	133562	9.8%
c	128972	9.5%
i	125371	9.2%
a	99892	7.4%
p	98891	7.3%
m	96366	7.1%
s	80622	5.9%
u	75847	5.6%
r	64205	4.7%
o	63951	4.7%
Other values (14)	390242	28.7%

Common

Value	Count	Frequency (%)
/	124976	15.7%
-	71055	8.9%
_	59707	7.5%
.	58779	7.4%
0	56183	7.1%
4	55644	7.0%
9	40507	5.1%
8	40077	5.0%
3	39832	5.0%
1	39488	5.0%
Other values (7)	210118	26.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2154287	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	133562	6.2%
c	128972	6.0%
i	125371	5.8%
/	124976	5.8%
a	99892	4.6%
p	98891	4.6%
m	96366	4.5%
s	80622	3.7%
u	75847	3.5%
-	71055	3.3%
Other values (31)	1118733	51.9%

host_neighbourhood
Text

Distinct	327
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	62
Median length	33
Mean length	9.6600153
Min length	2

Characters and Unicode

Total characters	189288
Distinct characters	70
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	143 ?
Unique (%)	0.7%

Sample

1st row	Copacabana
2nd row	Copacabana
3rd row	Copacabana
4th row	Copacabana
5th row	Copacabana

Value	Count	Frequency (%)
copacabana	5054	19.1%
no_info	4131	15.6%
tijuca	1929	7.3%
barra	1824	6.9%
da	1804	6.8%
ipanema	1564	5.9%
bandeirantes	781	3.0%
dos	779	2.9%
recreio	777	2.9%
leblon	681	2.6%
Other values (382)	7085	26.8%

Most occurring characters

Value	Count	Frequency (%)
a	40389	21.3%
o	19870	10.5%
n	19553	10.3%
i	9811	5.2%
e	9633	5.1%
c	8825	4.7%
r	8457	4.5%
p	7372	3.9%
	6814	3.6%
C	6088	3.2%
Other values (60)	52476	27.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	158800	83.9%
Uppercase Letter	19522	10.3%
Space Separator	6814	3.6%
Connector Punctuation	4131	2.2%
Dash Punctuation	7	< 0.1%
Open Punctuation	4	< 0.1%
Close Punctuation	4	< 0.1%
Other Punctuation	4	< 0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	40389	25.4%
o	19870	12.5%
n	19553	12.3%
i	9811	6.2%
e	9633	6.1%
c	8825	5.6%
r	8457	5.3%
p	7372	4.6%
b	5991	3.8%
f	4748	3.0%
Other values (27)	24151	15.2%

Uppercase Letter

Value	Count	Frequency (%)
C	6088	31.2%
B	3434	17.6%
T	2409	12.3%
I	1780	9.1%
L	1436	7.4%
R	877	4.5%
S	672	3.4%
J	661	3.4%
G	495	2.5%
V	457	2.3%
Other values (16)	1213	6.2%

Space Separator

Value	Count	Frequency (%)
	6814	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4131	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Decimal Number

Value	Count	Frequency (%)
6	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	178322	94.2%
Common	10966	5.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	40389	22.6%
o	19870	11.1%
n	19553	11.0%
i	9811	5.5%
e	9633	5.4%
c	8825	4.9%
r	8457	4.7%
p	7372	4.1%
C	6088	3.4%
b	5991	3.4%
Other values (53)	42333	23.7%

Common

Value	Count	Frequency (%)
	6814	62.1%
_	4131	37.7%
-	7	0.1%
(	4	< 0.1%
)	4	< 0.1%
.	4	< 0.1%
6	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	187833	99.2%
None	1455	0.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	40389	21.5%
o	19870	10.6%
n	19553	10.4%
i	9811	5.2%
e	9633	5.1%
c	8825	4.7%
r	8457	4.5%
p	7372	3.9%
	6814	3.6%
C	6088	3.2%
Other values (48)	51021	27.2%

None

Value	Count	Frequency (%)
á	829	57.0%
ã	225	15.5%
ó	188	12.9%
â	76	5.2%
ç	50	3.4%
ú	26	1.8%
é	25	1.7%
í	19	1.3%
ê	11	0.8%
Á	4	0.3%
Other values (2)	2	0.1%

host_listings_count
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

host_total_listings_count
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

host_verifications
Categorical

HIGH CORRELATION IMBALANCE

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

['email', 'phone']	15491
['phone']	2607
['email', 'phone', 'work_email']	1388
['phone', 'work_email']	64
['email']	29
Other values (4)	16

Length

Max length	34
Median length	18
Mean length	17.788517
Min length	2

Characters and Unicode

Total characters	348566
Distinct characters	21
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	['email', 'phone']
2nd row	['email', 'phone']
3rd row	['email', 'phone']
4th row	['email', 'phone']
5th row	['email', 'phone']

Common Values

Value	Count	Frequency (%)
['email', 'phone']	15491	79.1%
['phone']	2607	13.3%
['email', 'phone', 'work_email']	1388	7.1%
['phone', 'work_email']	64	0.3%
['email']	29	0.1%
[]	11	0.1%
['email', 'work_email']	2	< 0.1%
no_info	2	< 0.1%
['email', 'phone', 'photographer']	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
phone	19551	51.5%
email	16911	44.6%
work_email	1454	3.8%
	11	< 0.1%
no_info	2	< 0.1%
photographer	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
'	75834	21.8%
e	37917	10.9%
o	21011	6.0%
[	19593	5.6%
]	19593	5.6%
n	19555	5.6%
p	19553	5.6%
h	19553	5.6%
i	18367	5.3%
a	18366	5.3%
Other values (11)	79224	22.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	195420	56.1%
Other Punctuation	94169	27.0%
Open Punctuation	19593	5.6%
Close Punctuation	19593	5.6%
Space Separator	18335	5.3%
Connector Punctuation	1456	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	37917	19.4%
o	21011	10.8%
n	19555	10.0%
p	19553	10.0%
h	19553	10.0%
i	18367	9.4%
a	18366	9.4%
l	18365	9.4%
m	18365	9.4%
r	1456	0.7%
Other values (5)	2912	1.5%

Other Punctuation

Value	Count	Frequency (%)
'	75834	80.5%
,	18335	19.5%

Open Punctuation

Value	Count	Frequency (%)
[	19593	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	19593	100.0%

Space Separator

Value	Count	Frequency (%)
	18335	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1456	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	195420	56.1%
Common	153146	43.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	37917	19.4%
o	21011	10.8%
n	19555	10.0%
p	19553	10.0%
h	19553	10.0%
i	18367	9.4%
a	18366	9.4%
l	18365	9.4%
m	18365	9.4%
r	1456	0.7%
Other values (5)	2912	1.5%

Common

Value	Count	Frequency (%)
'	75834	49.5%
[	19593	12.8%
]	19593	12.8%
	18335	12.0%
,	18335	12.0%
_	1456	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	348566	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	75834	21.8%
e	37917	10.9%
o	21011	6.0%
[	19593	5.6%
]	19593	5.6%
n	19555	5.6%
p	19553	5.6%
h	19553	5.6%
i	18367	5.3%
a	18366	5.3%
Other values (11)	79224	22.7%

host_has_profile_pic
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

t	19060
f	533
no_info	2

Length

Max length	7
Median length	1
Mean length	1.0006124
Min length	1

Characters and Unicode

Total characters	19607
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	t
3rd row	t
4th row	t
5th row	t

Common Values

Value	Count	Frequency (%)
t	19060	97.3%
f	533	2.7%
no_info	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
t	19060	97.3%
f	533	2.7%
no_info	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
t	19060	97.2%
f	535	2.7%
n	4	< 0.1%
o	4	< 0.1%
_	2	< 0.1%
i	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19605	> 99.9%
Connector Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	19060	97.2%
f	535	2.7%
n	4	< 0.1%
o	4	< 0.1%
i	2	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19605	> 99.9%
Common	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	19060	97.2%
f	535	2.7%
n	4	< 0.1%
o	4	< 0.1%
i	2	< 0.1%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19607	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	19060	97.2%
f	535	2.7%
n	4	< 0.1%
o	4	< 0.1%
_	2	< 0.1%
i	2	< 0.1%

host_identity_verified
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

t	15770
f	3823
no_info	2

Length

Max length	7
Median length	1
Mean length	1.0006124
Min length	1

Characters and Unicode

Total characters	19607
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	t
3rd row	t
4th row	t
5th row	t

Common Values

Value	Count	Frequency (%)
t	15770	80.5%
f	3823	19.5%
no_info	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
t	15770	80.5%
f	3823	19.5%
no_info	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
t	15770	80.4%
f	3825	19.5%
n	4	< 0.1%
o	4	< 0.1%
_	2	< 0.1%
i	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19605	> 99.9%
Connector Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	15770	80.4%
f	3825	19.5%
n	4	< 0.1%
o	4	< 0.1%
i	2	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19605	> 99.9%
Common	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	15770	80.4%
f	3825	19.5%
n	4	< 0.1%
o	4	< 0.1%
i	2	< 0.1%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19607	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	15770	80.4%
f	3825	19.5%
n	4	< 0.1%
o	4	< 0.1%
_	2	< 0.1%
i	2	< 0.1%

neighbourhood
Text

Distinct	198
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	128
Median length	7
Mean length	16.966114
Min length	7

Characters and Unicode

Total characters	332451
Distinct characters	69
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	90 ?
Unique (%)	0.5%

Sample

1st row	no_info
2nd row	no_info
3rd row	Rio de Janeiro, Brazil
4th row	Rio de Janeiro, Brazil
5th row	Rio de Janeiro, Brazil

Value	Count	Frequency (%)
rio	10154	18.5%
de	9904	18.1%
janeiro	9879	18.0%
no_info	9827	17.9%
brazil	9769	17.8%
copacabana	1268	2.3%
tijuca	410	0.7%
barra	388	0.7%
da	383	0.7%
ipanema	300	0.5%
Other values (168)	2513	4.6%

Most occurring characters

Value	Count	Frequency (%)
o	42601	12.8%
i	40852	12.3%
	35204	10.6%
n	32324	9.7%
a	29177	8.8%
e	22170	6.7%
r	21659	6.5%
,	13812	4.2%
d	10794	3.2%
B	10559	3.2%
Other values (59)	73299	22.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	239129	71.9%
Space Separator	35204	10.6%
Uppercase Letter	34437	10.4%
Other Punctuation	13820	4.2%
Connector Punctuation	9827	3.0%
Decimal Number	16	< 0.1%
Dash Punctuation	12	< 0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	42601	17.8%
i	40852	17.1%
n	32324	13.5%
a	29177	12.2%
e	22170	9.3%
r	21659	9.1%
d	10794	4.5%
l	10174	4.3%
f	9975	4.2%
z	9775	4.1%
Other values (22)	9628	4.0%

Uppercase Letter

Value	Count	Frequency (%)
B	10559	30.7%
R	10419	30.3%
J	10053	29.2%
C	1544	4.5%
T	536	1.6%
I	339	1.0%
L	306	0.9%
S	154	0.4%
F	132	0.4%
G	128	0.4%
Other values (11)	267	0.8%

Decimal Number

Value	Count	Frequency (%)
8	3	18.8%
3	3	18.8%
2	3	18.8%
7	2	12.5%
5	2	12.5%
1	2	12.5%
0	1	6.2%

Other Punctuation

Value	Count	Frequency (%)
,	13812	99.9%
/	4	< 0.1%
.	3	< 0.1%
:	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	35204	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	9827	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	273566	82.3%
Common	58885	17.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	42601	15.6%
i	40852	14.9%
n	32324	11.8%
a	29177	10.7%
e	22170	8.1%
r	21659	7.9%
d	10794	3.9%
B	10559	3.9%
R	10419	3.8%
l	10174	3.7%
Other values (43)	42837	15.7%

Common

Value	Count	Frequency (%)
	35204	59.8%
,	13812	23.5%
_	9827	16.7%
-	12	< 0.1%
/	4	< 0.1%
(	3	< 0.1%
)	3	< 0.1%
8	3	< 0.1%
3	3	< 0.1%
2	3	< 0.1%
Other values (6)	11	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	332113	99.9%
None	338	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	42601	12.8%
i	40852	12.3%
	35204	10.6%
n	32324	9.7%
a	29177	8.8%
e	22170	6.7%
r	21659	6.5%
,	13812	4.2%
d	10794	3.3%
B	10559	3.2%
Other values (49)	72961	22.0%

None

Value	Count	Frequency (%)
á	202	59.8%
ó	52	15.4%
ã	37	10.9%
â	25	7.4%
í	7	2.1%
ú	6	1.8%
ç	4	1.2%
É	2	0.6%
é	2	0.6%
ê	1	0.3%

neighbourhood_cleansed
Text

Distinct	140
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	24
Median length	22
Mean length	10.35555
Min length	3

Characters and Unicode

Total characters	202917
Distinct characters	59
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.1%

Sample

1st row	Copacabana
2nd row	Copacabana
3rd row	Copacabana
4th row	Copacabana
5th row	Copacabana

Value	Count	Frequency (%)
copacabana	6229	22.6%
tijuca	2116	7.7%
barra	2003	7.3%
da	1974	7.2%
ipanema	1912	6.9%
jacarepaguá	1066	3.9%
recreio	1027	3.7%
dos	1027	3.7%
bandeirantes	1027	3.7%
leblon	926	3.4%
Other values (166)	8268	30.0%

Most occurring characters

Value	Count	Frequency (%)
a	50650	25.0%
o	14811	7.3%
n	14255	7.0%
e	13162	6.5%
c	11060	5.5%
r	10977	5.4%
p	9347	4.6%
	7980	3.9%
C	7864	3.9%
b	7478	3.7%
Other values (49)	55333	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	170392	84.0%
Uppercase Letter	24399	12.0%
Space Separator	7980	3.9%
Close Punctuation	73	< 0.1%
Open Punctuation	73	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	50650	29.7%
o	14811	8.7%
n	14255	8.4%
e	13162	7.7%
c	11060	6.5%
r	10977	6.4%
p	9347	5.5%
b	7478	4.4%
i	6628	3.9%
d	4942	2.9%
Other values (21)	27082	15.9%

Uppercase Letter

Value	Count	Frequency (%)
C	7864	32.2%
B	4067	16.7%
T	2868	11.8%
I	2095	8.6%
L	1786	7.3%
J	1270	5.2%
R	1122	4.6%
S	916	3.8%
G	651	2.7%
F	496	2.0%
Other values (15)	1264	5.2%

Space Separator

Value	Count	Frequency (%)
	7980	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	73	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	194791	96.0%
Common	8126	4.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	50650	26.0%
o	14811	7.6%
n	14255	7.3%
e	13162	6.8%
c	11060	5.7%
r	10977	5.6%
p	9347	4.8%
C	7864	4.0%
b	7478	3.8%
i	6628	3.4%
Other values (46)	48559	24.9%

Common

Value	Count	Frequency (%)
	7980	98.2%
)	73	0.9%
(	73	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	200652	98.9%
None	2265	1.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	50650	25.2%
o	14811	7.4%
n	14255	7.1%
e	13162	6.6%
c	11060	5.5%
r	10977	5.5%
p	9347	4.7%
	7980	4.0%
C	7864	3.9%
b	7478	3.7%
Other values (39)	53068	26.4%

None

Value	Count	Frequency (%)
á	1521	67.2%
ã	265	11.7%
ó	196	8.7%
â	121	5.3%
ú	45	2.0%
ç	37	1.6%
é	31	1.4%
ê	27	1.2%
í	21	0.9%
Á	1	< 0.1%

latitude
Real number (ℝ)

HIGH CORRELATION

Distinct	13102
Distinct (%)	66.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-22.968751

Minimum	-23.07305
Maximum	-22.74969
Zeros	0
Zeros (%)	0.0%
Negative	19595
Negative (%)	100.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	-23.07305
5-th percentile	-23.01454
Q1	-22.984713
median	-22.97311
Q3	-22.961139
95-th percentile	-22.912589
Maximum	-22.74969
Range	0.32336
Interquartile range (IQR)	0.023573948

Descriptive statistics

Standard deviation	0.033537666
Coefficient of variation (CV)	-0.0014601432
Kurtosis	4.6057318
Mean	-22.968751
Median Absolute Deviation (MAD)	0.0116858
Skewness	1.2791753
Sum	-450072.68
Variance	0.0011247751
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-22.9808971	21	0.1%
-22.9980396	15	0.1%
-23.0045865	15	0.1%
-22.98456	13	0.1%
-22.985369	12	0.1%
-22.98251	12	0.1%
-23.03054	11	0.1%
-22.98253	11	0.1%
-22.98405	11	0.1%
-22.98519	10	0.1%
Other values (13092)	19464	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-23.07305	1	< 0.1%
-23.07252	1	< 0.1%
-23.0722	1	< 0.1%
-23.07215	1	< 0.1%
-23.07211	1	< 0.1%
-23.07209845	1	< 0.1%
-23.07201189	1	< 0.1%
-23.07157934	1	< 0.1%
-23.07123395	1	< 0.1%
-23.0712	1	< 0.1%

Value	Count	Frequency (%)
-22.74969	1	< 0.1%
-22.75061	1	< 0.1%
-22.75077	1	< 0.1%
-22.75094	1	< 0.1%
-22.75252	1	< 0.1%
-22.75295	1	< 0.1%
-22.75316	1	< 0.1%
-22.7532937	1	< 0.1%
-22.75358	1	< 0.1%
-22.75409	1	< 0.1%

longitude
Real number (ℝ)

HIGH CORRELATION

Distinct	13908
Distinct (%)	71.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-43.2505

Minimum	-43.723009
Maximum	-43.10505
Zeros	0
Zeros (%)	0.0%
Negative	19595
Negative (%)	100.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	-43.723009
5-th percentile	-43.472843
Q1	-43.309633
median	-43.19459
Q3	-43.185726
95-th percentile	-43.174769
Maximum	-43.10505
Range	0.61795934
Interquartile range (IQR)	0.12390629

Descriptive statistics

Standard deviation	0.10088438
Coefficient of variation (CV)	-0.0023325598
Kurtosis	1.1065741
Mean	-43.2505
Median Absolute Deviation (MAD)	0.016679708
Skewness	-1.4468415
Sum	-847493.55
Variance	0.010177657
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-43.4224405	21	0.1%
-43.4731697	15	0.1%
-43.3411208	15	0.1%
-43.2568208	15	0.1%
-43.187908	13	0.1%
-43.19053	12	0.1%
-43.19024	12	0.1%
-43.1911	12	0.1%
-43.1956179	11	0.1%
-43.19115	11	0.1%
Other values (13898)	19458	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-43.72300934	1	< 0.1%
-43.71038	1	< 0.1%
-43.70128586	1	< 0.1%
-43.7012179	1	< 0.1%
-43.70074	1	< 0.1%
-43.69867	1	< 0.1%
-43.6946123	1	< 0.1%
-43.69155	1	< 0.1%
-43.69005613	1	< 0.1%
-43.68999	1	< 0.1%

Value	Count	Frequency (%)
-43.10505	1	< 0.1%
-43.10575	1	< 0.1%
-43.105767	1	< 0.1%
-43.10579556	1	< 0.1%
-43.10605	1	< 0.1%
-43.10611	1	< 0.1%
-43.10642	1	< 0.1%
-43.10661682	1	< 0.1%
-43.10763	1	< 0.1%
-43.10784	1	< 0.1%

property_type
Text

Distinct	71
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	34
Median length	18
Mean length	18.796836
Min length	4

Characters and Unicode

Total characters	368324
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	20 ?
Unique (%)	0.1%

Sample

1st row	Entire rental unit
2nd row	Entire rental unit
3rd row	Entire rental unit
4th row	Entire condo
5th row	Entire rental unit

Value	Count	Frequency (%)
entire	15494	24.6%
unit	14595	23.2%
rental	14595	23.2%
room	4048	6.4%
in	4020	6.4%
private	3594	5.7%
home	1628	2.6%
condo	1351	2.1%
serviced	587	0.9%
apartment	587	0.9%
Other values (37)	2397	3.8%

Most occurring characters

Value	Count	Frequency (%)
t	51045	13.9%
n	51032	13.9%
	43301	11.8%
r	39391	10.7%
e	38658	10.5%
i	38601	10.5%
a	20929	5.7%
l	15521	4.2%
E	15503	4.2%
u	15190	4.1%
Other values (24)	39153	10.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	305425	82.9%
Space Separator	43301	11.8%
Uppercase Letter	19597	5.3%
Other Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	51045	16.7%
n	51032	16.7%
r	39391	12.9%
e	38658	12.7%
i	38601	12.6%
a	20929	6.9%
l	15521	5.1%
u	15190	5.0%
o	13452	4.4%
m	6268	2.1%
Other values (13)	15338	5.0%

Uppercase Letter

Value	Count	Frequency (%)
E	15503	79.1%
P	3594	18.3%
S	245	1.3%
R	211	1.1%
C	21	0.1%
T	17	0.1%
B	3	< 0.1%
F	2	< 0.1%
V	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	43301	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	325022	88.2%
Common	43302	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	51045	15.7%
n	51032	15.7%
r	39391	12.1%
e	38658	11.9%
i	38601	11.9%
a	20929	6.4%
l	15521	4.8%
E	15503	4.8%
u	15190	4.7%
o	13452	4.1%
Other values (22)	25700	7.9%

Common

Value	Count	Frequency (%)
	43301	> 99.9%
/	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	368324	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	51045	13.9%
n	51032	13.9%
	43301	11.8%
r	39391	10.7%
e	38658	10.5%
i	38601	10.5%
a	20929	5.7%
l	15521	4.2%
E	15503	4.2%
u	15190	4.1%
Other values (24)	39153	10.6%

room_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Entire home/apt	15621
Private room	3717
Shared room	245
Hotel room	12

Length

Max length	15
Median length	15
Mean length	14.377851
Min length	10

Characters and Unicode

Total characters	281734
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entire home/apt
2nd row	Entire home/apt
3rd row	Entire home/apt
4th row	Entire home/apt
5th row	Entire home/apt

Common Values

Value	Count	Frequency (%)
Entire home/apt	15621	79.7%
Private room	3717	19.0%
Shared room	245	1.3%
Hotel room	12	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
entire	15621	39.9%
home/apt	15621	39.9%
room	3974	10.1%
private	3717	9.5%
shared	245	0.6%
hotel	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	35216	12.5%
t	34971	12.4%
o	23581	8.4%
r	23557	8.4%
m	19595	7.0%
	19595	7.0%
a	19583	7.0%
i	19338	6.9%
h	15866	5.6%
p	15621	5.5%
Other values (9)	54811	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	226923	80.5%
Space Separator	19595	7.0%
Uppercase Letter	19595	7.0%
Other Punctuation	15621	5.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	35216	15.5%
t	34971	15.4%
o	23581	10.4%
r	23557	10.4%
m	19595	8.6%
a	19583	8.6%
i	19338	8.5%
h	15866	7.0%
p	15621	6.9%
n	15621	6.9%
Other values (3)	3974	1.8%

Uppercase Letter

Value	Count	Frequency (%)
E	15621	79.7%
P	3717	19.0%
S	245	1.3%
H	12	0.1%

Space Separator

Value	Count	Frequency (%)
	19595	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	15621	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	246518	87.5%
Common	35216	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	35216	14.3%
t	34971	14.2%
o	23581	9.6%
r	23557	9.6%
m	19595	7.9%
a	19583	7.9%
i	19338	7.8%
h	15866	6.4%
p	15621	6.3%
E	15621	6.3%
Other values (7)	23569	9.6%

Common

Value	Count	Frequency (%)
	19595	55.6%
/	15621	44.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	281734	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	35216	12.5%
t	34971	12.4%
o	23581	8.4%
r	23557	8.4%
m	19595	7.0%
	19595	7.0%
a	19583	7.0%
i	19338	6.9%
h	15866	5.6%
p	15621	5.5%
Other values (9)	54811	19.5%

accommodates
Real number (ℝ)

HIGH CORRELATION

Distinct	16
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9781067

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	4
Q3	5
95-th percentile	8
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.1859509
Coefficient of variation (CV)	0.54949531
Kurtosis	5.633458
Mean	3.9781067
Median Absolute Deviation (MAD)	2
Skewness	1.7922921
Sum	77951
Variance	4.7783815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
4	5846	29.8%
2	5230	26.7%
6	2378	12.1%
3	2267	11.6%
5	1494	7.6%
1	763	3.9%
8	593	3.0%
7	383	2.0%
10	247	1.3%
12	102	0.5%
Other values (6)	292	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	763	3.9%
2	5230	26.7%
3	2267	11.6%
4	5846	29.8%
5	1494	7.6%
6	2378	12.1%
7	383	2.0%
8	593	3.0%
9	98	0.5%
10	247	1.3%

Value	Count	Frequency (%)
16	80	0.4%
15	32	0.2%
14	30	0.2%
13	26	0.1%
12	102	0.5%
11	26	0.1%
10	247	1.3%
9	98	0.5%
8	593	3.0%
7	383	2.0%

bathrooms_text
Categorical

HIGH CORRELATION IMBALANCE

Distinct	40
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

1 bath	9095
2 baths	3988
1 shared bath	1265
1 private bath	1159
1.5 baths	1027
Other values (35)	3061

Length

Max length	17
Median length	16
Mean length	7.8021944
Min length	6

Characters and Unicode

Total characters	152884
Distinct characters	32
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	1 bath
2nd row	no_info
3rd row	1 bath
4th row	1 bath
5th row	1 bath

Common Values

Value	Count	Frequency (%)
1 bath	9095	46.4%
2 baths	3988	20.4%
1 shared bath	1265	6.5%
1 private bath	1159	5.9%
1.5 baths	1027	5.2%
3 baths	954	4.9%
2.5 baths	688	3.5%
2 shared baths	242	1.2%
3.5 baths	227	1.2%
1.5 shared baths	226	1.2%
Other values (30)	724	3.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	11519	27.3%
bath	11519	27.3%
baths	8024	19.0%
2	4230	10.0%
shared	1880	4.5%
1.5	1253	3.0%
private	1160	2.8%
3	980	2.3%
2.5	728	1.7%
4	245	0.6%
Other values (17)	640	1.5%

Most occurring characters

Value	Count	Frequency (%)
a	22661	14.8%
	22583	14.8%
h	21475	14.0%
t	20742	13.6%
b	19582	12.8%
1	12783	8.4%
s	9892	6.5%
2	4958	3.2%
r	3040	2.0%
e	3040	2.0%
Other values (22)	12128	7.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	105947	69.3%
Space Separator	22583	14.8%
Decimal Number	21907	14.3%
Other Punctuation	2356	1.5%
Dash Punctuation	39	< 0.1%
Uppercase Letter	39	< 0.1%
Connector Punctuation	13	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	22661	21.4%
h	21475	20.3%
t	20742	19.6%
b	19582	18.5%
s	9892	9.3%
r	3040	2.9%
e	3040	2.9%
d	1880	1.8%
i	1173	1.1%
v	1160	1.1%
Other values (5)	1302	1.2%

Decimal Number

Value	Count	Frequency (%)
1	12783	58.4%
2	4958	22.6%
5	2471	11.3%
3	1215	5.5%
4	332	1.5%
6	61	0.3%
0	44	0.2%
7	33	0.2%
8	9	< 0.1%
9	1	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
H	26	66.7%
S	12	30.8%
P	1	2.6%

Space Separator

Value	Count	Frequency (%)
	22583	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	2356	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	39	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	105986	69.3%
Common	46898	30.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	22661	21.4%
h	21475	20.3%
t	20742	19.6%
b	19582	18.5%
s	9892	9.3%
r	3040	2.9%
e	3040	2.9%
d	1880	1.8%
i	1173	1.1%
v	1160	1.1%
Other values (8)	1341	1.3%

Common

Value	Count	Frequency (%)
	22583	48.2%
1	12783	27.3%
2	4958	10.6%
5	2471	5.3%
.	2356	5.0%
3	1215	2.6%
4	332	0.7%
6	61	0.1%
0	44	0.1%
-	39	0.1%
Other values (4)	56	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	152884	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	22661	14.8%
	22583	14.8%
h	21475	14.0%
t	20742	13.6%
b	19582	12.8%
1	12783	8.4%
s	9892	6.5%
2	4958	3.2%
r	3040	2.0%
e	3040	2.0%
Other values (22)	12128	7.9%

bedrooms
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

beds
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

amenities
Text

Distinct	18174
Distinct (%)	92.7%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	2057
Median length	1087
Mean length	440.13907
Min length	2

Characters and Unicode

Total characters	8624525
Distinct characters	82
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17691 ?
Unique (%)	90.3%

Sample

1st row	["Hangers", "Body soap", "Elevator", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "TV", "Iron", "Dining table", "Ceiling fan", "Essentials", "Public or shared beach access \u2013 Beachfront", "Refrigerator", "Coffee maker: drip coffee maker", "Gas stove", "Hot water", "Extra pillows and blankets", "Kitchen", "Air conditioning"]
2nd row	["TV", "Kitchen", "Wifi", "Elevator", "Air conditioning"]
3rd row	["Clothing storage: wardrobe", "Public or shared beach access", "Hangers", "Esmaltec gas stove", "Elevator", "Cooking basics", "32\" HDTV", "Room-darkening shades", "Bed linens", "Microwave", "Free washer \u2013 In unit", "Drying rack for clothing", "Dishes and silverware", "Cleaning products", "Courtyard view", "Coffee maker", "Iron", "Laundromat nearby", "Dining table", "Ceiling fan", "Blender", "Essentials", "Hot water kettle", "Refrigerator", "Host greets you", "EV charger", "Mountain view", "Hot water", "Oven", "Kitchen", "Window AC unit", "Wifi \u2013 14 Mbps"]
4th row	["Patio or balcony", "Hangers", "Paid parking off premises", "Elevator", "Cooking basics", "Private entrance", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "Self check-in", "Iron", "Building staff", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Smoking allowed", "Bathtub", "Hot water", "Oven", "Air conditioning", "Kitchen", "Luggage dropoff allowed", "Coffee maker"]
5th row	["Clothing storage: wardrobe", "Dedicated workspace", "Public or shared beach access", "Hangers", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Single level home", "Microwave", "Wifi", "Drying rack for clothing", "Dishes and silverware", "Hair dryer", "Iron", "Laundromat nearby", "Paid street parking off premises", "Dining table", "Ceiling fan", "Books and reading material", "Blender", "Essentials", "Hammock", "TV with standard cable", "Refrigerator", "Stove", "Host greets you", "Hot water", "Oven", "Kitchen", "Window AC unit", "Coffee maker"]

Value	Count	Frequency (%)
and	22609	2.2%
allowed	20978	2.0%
wifi	19038	1.8%
kitchen	18120	1.7%
coffee	16187	1.6%
parking	16092	1.5%
free	15627	1.5%
hot	15547	1.5%
essentials	14417	1.4%
water	14210	1.4%
Other values (1864)	869759	83.4%

Most occurring characters

Value	Count	Frequency (%)
	1023940	11.9%
"	955721	11.1%
e	694048	8.0%
a	492949	5.7%
r	485003	5.6%
i	475695	5.5%
,	463840	5.4%
o	416513	4.8%
n	404722	4.7%
s	383265	4.4%
Other values (72)	2828829	32.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5496995	63.7%
Other Punctuation	1447109	16.8%
Space Separator	1023940	11.9%
Uppercase Letter	536927	6.2%
Decimal Number	61525	0.7%
Close Punctuation	19626	0.2%
Open Punctuation	19625	0.2%
Dash Punctuation	18261	0.2%
Math Symbol	517	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	694048	12.6%
a	492949	9.0%
r	485003	8.8%
i	475695	8.7%
o	416513	7.6%
n	404722	7.4%
s	383265	7.0%
t	340326	6.2%
l	241258	4.4%
d	215709	3.9%
Other values (16)	1347507	24.5%

Uppercase Letter

Value	Count	Frequency (%)
C	56678	10.6%
B	48785	9.1%
H	45153	8.4%
D	41474	7.7%
S	36649	6.8%
E	36502	6.8%
W	35803	6.7%
P	33655	6.3%
F	28433	5.3%
T	22443	4.2%
Other values (16)	151352	28.2%

Other Punctuation

Value	Count	Frequency (%)
"	955721	66.0%
,	463840	32.1%
\	15793	1.1%
:	11041	0.8%
/	525	< 0.1%
.	131	< 0.1%
'	32	< 0.1%
!	12	< 0.1%
&	8	< 0.1%
%	3	< 0.1%
Other values (2)	3	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	14794	24.0%
2	14298	23.2%
1	13234	21.5%
3	11955	19.4%
9	2137	3.5%
4	2108	3.4%
5	1803	2.9%
6	501	0.8%
8	352	0.6%
7	343	0.6%

Open Punctuation

Value	Count	Frequency (%)
[	19595	99.8%
(	30	0.2%

Close Punctuation

Value	Count	Frequency (%)
]	19595	99.8%
)	31	0.2%

Math Symbol

Value	Count	Frequency (%)
+	512	99.0%
\|	5	1.0%

Space Separator

Value	Count	Frequency (%)
	1023940	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18261	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6033922	70.0%
Common	2590603	30.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	694048	11.5%
a	492949	8.2%
r	485003	8.0%
i	475695	7.9%
o	416513	6.9%
n	404722	6.7%
s	383265	6.4%
t	340326	5.6%
l	241258	4.0%
d	215709	3.6%
Other values (42)	1884434	31.2%

Common

Value	Count	Frequency (%)
	1023940	39.5%
"	955721	36.9%
,	463840	17.9%
[	19595	0.8%
]	19595	0.8%
-	18261	0.7%
\	15793	0.6%
0	14794	0.6%
2	14298	0.6%
1	13234	0.5%
Other values (20)	31532	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8624525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1023940	11.9%
"	955721	11.1%
e	694048	8.0%
a	492949	5.7%
r	485003	5.6%
i	475695	5.5%
,	463840	5.4%
o	416513	4.8%
n	404722	4.7%
s	383265	4.4%
Other values (72)	2828829	32.8%

price
Real number (ℝ)

HIGH CORRELATION

Distinct	1433
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	515.95815

Minimum	75
Maximum	4277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	75
5-th percentile	110
Q1	199
median	318
Q3	588
95-th percentile	1600
Maximum	4277
Range	4202
Interquartile range (IQR)	389

Descriptive statistics

Standard deviation	571.47039
Coefficient of variation (CV)	1.1075906
Kurtosis	11.565287
Mean	515.95815
Median Absolute Deviation (MAD)	152
Skewness	3.0654956
Sum	10110200
Variance	326578.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	501	2.6%
300	470	2.4%
250	465	2.4%
500	413	2.1%
400	396	2.0%
350	395	2.0%
150	382	1.9%
1000	273	1.4%
450	271	1.4%
180	268	1.4%
Other values (1423)	15761	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
75	43	0.2%
76	21	0.1%
77	8	< 0.1%
78	12	0.1%
79	16	0.1%
80	66	0.3%
81	16	0.1%
82	7	< 0.1%
83	15	0.1%
84	13	0.1%

Value	Count	Frequency (%)
4277	1	< 0.1%
4271	1	< 0.1%
4212	1	< 0.1%
4210	1	< 0.1%
4200	1	< 0.1%
4178	1	< 0.1%
4168	2	< 0.1%
4162	1	< 0.1%
4155	1	< 0.1%
4143	1	< 0.1%

minimum_nights
Real number (ℝ)

HIGH CORRELATION

Distinct	57
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3792804

Minimum	1
Maximum	730
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	10
Maximum	730
Range	729
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	16.985955
Coefficient of variation (CV)	3.8787091
Kurtosis	474.58517
Mean	4.3792804
Median Absolute Deviation (MAD)	1
Skewness	19.488288
Sum	85812
Variance	288.52267
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	6028	30.8%
1	4514	23.0%
3	4326	22.1%
4	1456	7.4%
5	1305	6.7%
7	581	3.0%
10	305	1.6%
6	231	1.2%
15	220	1.1%
30	163	0.8%
Other values (47)	466	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4514	23.0%
2	6028	30.8%
3	4326	22.1%
4	1456	7.4%
5	1305	6.7%
6	231	1.2%
7	581	3.0%
8	38	0.2%
9	11	0.1%
10	305	1.6%

Value	Count	Frequency (%)
730	1	< 0.1%
365	23	0.1%
362	1	< 0.1%
360	3	< 0.1%
300	4	< 0.1%
200	1	< 0.1%
188	1	< 0.1%
180	9	< 0.1%
170	1	< 0.1%
150	3	< 0.1%

maximum_nights
Real number (ℝ)

HIGH CORRELATION

Distinct	181
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	191.94075

Minimum	8
Maximum	1124
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	8
5-th percentile	14
Q1	30
median	90
Q3	365
95-th percentile	365
Maximum	1124
Range	1116
Interquartile range (IQR)	335

Descriptive statistics

Standard deviation	176.25823
Coefficient of variation (CV)	0.91829501
Kurtosis	2.1389543
Mean	191.94075
Median Absolute Deviation (MAD)	75
Skewness	1.0417892
Sum	3761079
Variance	31066.965
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	7627	38.9%
90	2727	13.9%
30	2686	13.7%
60	952	4.9%
15	826	4.2%
10	680	3.5%
20	449	2.3%
89	372	1.9%
180	346	1.8%
28	328	1.7%
Other values (171)	2602	13.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	89	0.5%
9	30	0.2%
10	680	3.5%
11	12	0.1%
12	81	0.4%
13	10	0.1%
14	124	0.6%
15	826	4.2%
16	20	0.1%
17	11	0.1%

Value	Count	Frequency (%)
1124	26	0.1%
1123	3	< 0.1%
1122	1	< 0.1%
1121	1	< 0.1%
1120	4	< 0.1%
1110	1	< 0.1%
1109	1	< 0.1%
1100	3	< 0.1%
1097	1	< 0.1%
1095	6	< 0.1%

minimum_minimum_nights
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	56
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.1375351

Minimum	1
Maximum	730
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	10
Maximum	730
Range	729
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	16.253203
Coefficient of variation (CV)	3.9282332
Kurtosis	524.2496
Mean	4.1375351
Median Absolute Deviation (MAD)	1
Skewness	20.345416
Sum	81075
Variance	264.1666
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	6174	31.5%
1	5016	25.6%
3	4110	21.0%
4	1338	6.8%
5	1170	6.0%
7	537	2.7%
10	270	1.4%
15	212	1.1%
6	205	1.0%
30	153	0.8%
Other values (46)	410	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5016	25.6%
2	6174	31.5%
3	4110	21.0%
4	1338	6.8%
5	1170	6.0%
6	205	1.0%
7	537	2.7%
8	30	0.2%
9	11	0.1%
10	270	1.4%

Value	Count	Frequency (%)
730	1	< 0.1%
365	20	0.1%
360	3	< 0.1%
300	5	< 0.1%
200	1	< 0.1%
188	1	< 0.1%
180	9	< 0.1%
170	1	< 0.1%
150	3	< 0.1%
120	8	< 0.1%

maximum_minimum_nights
Real number (ℝ)

HIGH CORRELATION

Distinct	61
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.1782087

Minimum	1
Maximum	730
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	10
Maximum	730
Range	729
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	16.866941
Coefficient of variation (CV)	3.2572927
Kurtosis	469.67023
Mean	5.1782087
Median Absolute Deviation (MAD)	2
Skewness	19.194194
Sum	101467
Variance	284.49371
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	3965	20.2%
1	3538	18.1%
3	3483	17.8%
5	3291	16.8%
4	1908	9.7%
7	1500	7.7%
6	502	2.6%
10	412	2.1%
15	236	1.2%
30	184	0.9%
Other values (51)	576	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3538	18.1%
2	3965	20.2%
3	3483	17.8%
4	1908	9.7%
5	3291	16.8%
6	502	2.6%
7	1500	7.7%
8	89	0.5%
9	32	0.2%
10	412	2.1%

Value	Count	Frequency (%)
730	1	< 0.1%
365	22	0.1%
360	3	< 0.1%
300	5	< 0.1%
200	2	< 0.1%
188	1	< 0.1%
180	9	< 0.1%
170	1	< 0.1%
150	3	< 0.1%
140	1	< 0.1%

minimum_maximum_nights
Real number (ℝ)

HIGH CORRELATION

Distinct	171
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	380.45583

Minimum	1
Maximum	1125
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	15
Q1	40
median	365
Q3	365
95-th percentile	1125
Maximum	1125
Range	1124
Interquartile range (IQR)	325

Descriptive statistics

Standard deviation	402.59355
Coefficient of variation (CV)	1.0581874
Kurtosis	-0.43115414
Mean	380.45583
Median Absolute Deviation (MAD)	305
Skewness	1.0268103
Sum	7455032
Variance	162081.57
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	6384	32.6%
1125	3862	19.7%
90	2170	11.1%
30	2076	10.6%
60	700	3.6%
15	679	3.5%
10	583	3.0%
20	359	1.8%
180	243	1.2%
89	231	1.2%
Other values (161)	2308	11.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	< 0.1%
2	4	< 0.1%
3	3	< 0.1%
4	11	0.1%
5	14	0.1%
6	7	< 0.1%
7	18	0.1%
8	76	0.4%
9	26	0.1%
10	583	3.0%

Value	Count	Frequency (%)
1125	3862	19.7%
1124	16	0.1%
1123	3	< 0.1%
1122	1	< 0.1%
1121	1	< 0.1%
1120	4	< 0.1%
1110	1	< 0.1%
1109	1	< 0.1%
1097	1	< 0.1%
1095	5	< 0.1%

maximum_maximum_nights
Real number (ℝ)

HIGH CORRELATION

Distinct	164
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	405.70472

Minimum	8
Maximum	1125
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	8
5-th percentile	15
Q1	60
median	365
Q3	365
95-th percentile	1125
Maximum	1125
Range	1117
Interquartile range (IQR)	305

Descriptive statistics

Standard deviation	414.41068
Coefficient of variation (CV)	1.0214589
Kurtosis	-0.72266826
Mean	405.70472
Median Absolute Deviation (MAD)	305
Skewness	0.90582933
Sum	7949784
Variance	171736.21
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	6410	32.7%
1125	4316	22.0%
30	1995	10.2%
90	1951	10.0%
60	685	3.5%
15	651	3.3%
10	551	2.8%
20	350	1.8%
180	242	1.2%
89	241	1.2%
Other values (154)	2203	11.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	74	0.4%
9	24	0.1%
10	551	2.8%
11	8	< 0.1%
12	67	0.3%
13	8	< 0.1%
14	100	0.5%
15	651	3.3%
16	13	0.1%
17	10	0.1%

Value	Count	Frequency (%)
1125	4316	22.0%
1124	17	0.1%
1123	3	< 0.1%
1122	1	< 0.1%
1121	1	< 0.1%
1120	4	< 0.1%
1110	1	< 0.1%
1109	1	< 0.1%
1100	1	< 0.1%
1097	1	< 0.1%

minimum_nights_avg_ntm
Real number (ℝ)

HIGH CORRELATION

Distinct	194
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3919061

Minimum	1
Maximum	730
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2.2
Q3	3.4
95-th percentile	10
Maximum	730
Range	729
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	16.459663
Coefficient of variation (CV)	3.7477266
Kurtosis	505.95798
Mean	4.3919061
Median Absolute Deviation (MAD)	0.9
Skewness	19.98829
Sum	86059.4
Variance	270.92052
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	4149	21.2%
1	3685	18.8%
3	3184	16.2%
5	1168	6.0%
4	1151	5.9%
2.1	784	4.0%
7	531	2.7%
3.1	529	2.7%
2.2	520	2.7%
3.2	316	1.6%
Other values (184)	3578	18.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3685	18.8%
1.1	223	1.1%
1.2	123	0.6%
1.3	120	0.6%
1.4	101	0.5%
1.5	42	0.2%
1.6	50	0.3%
1.7	20	0.1%
1.8	15	0.1%
1.9	30	0.2%

Value	Count	Frequency (%)
730	1	< 0.1%
365	20	0.1%
360	3	< 0.1%
340.3	1	< 0.1%
300	5	< 0.1%
200	1	< 0.1%
188	1	< 0.1%
180	9	< 0.1%
170	1	< 0.1%
150	3	< 0.1%

maximum_nights_avg_ntm
Real number (ℝ)

HIGH CORRELATION

Distinct	513
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	395.7708

Minimum	8
Maximum	1125
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	8
5-th percentile	15
Q1	60
median	365
Q3	365
95-th percentile	1125
Maximum	1125
Range	1117
Interquartile range (IQR)	305

Descriptive statistics

Standard deviation	404.68127
Coefficient of variation (CV)	1.0225142
Kurtosis	-0.58386145
Mean	395.7708
Median Absolute Deviation (MAD)	305
Skewness	0.95027691
Sum	7755128.8
Variance	163766.93
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	6337	32.3%
1125	3862	19.7%
30	1976	10.1%
90	1916	9.8%
60	681	3.5%
15	646	3.3%
10	550	2.8%
20	341	1.7%
180	239	1.2%
89	224	1.1%
Other values (503)	2823	14.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	74	0.4%
9	24	0.1%
9.9	1	< 0.1%
10	550	2.8%
10.2	1	< 0.1%
10.5	1	< 0.1%
11	8	< 0.1%
11.9	1	< 0.1%
12	67	0.3%
13	8	< 0.1%

Value	Count	Frequency (%)
1125	3862	19.7%
1124	16	0.1%
1123	3	< 0.1%
1122.5	2	< 0.1%
1122.4	4	< 0.1%
1122	1	< 0.1%
1121	1	< 0.1%
1120.5	1	< 0.1%
1120	6	< 0.1%
1119.8	2	< 0.1%

has_availability
Boolean

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	172.2 KiB

True	19095
False	500

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	19095	97.4%
False	500	2.6%

availability_30
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	31
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.748099

Minimum	0
Maximum	30
Zeros	3821
Zeros (%)	19.5%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	19
Q3	29
95-th percentile	30
Maximum	30
Range	30
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	11.80936
Coefficient of variation (CV)	0.70511646
Kurtosis	-1.5596591
Mean	16.748099
Median Absolute Deviation (MAD)	10
Skewness	-0.27145406
Sum	328179
Variance	139.46099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	3821	19.5%
30	3311	16.9%
29	2012	10.3%
28	1069	5.5%
27	773	3.9%
23	630	3.2%
21	379	1.9%
6	359	1.8%
7	357	1.8%
9	354	1.8%
Other values (21)	6530	33.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3821	19.5%
1	319	1.6%
2	259	1.3%
3	262	1.3%
4	339	1.7%
5	329	1.7%
6	359	1.8%
7	357	1.8%
8	344	1.8%
9	354	1.8%

Value	Count	Frequency (%)
30	3311	16.9%
29	2012	10.3%
28	1069	5.5%
27	773	3.9%
26	321	1.6%
25	328	1.7%
24	326	1.7%
23	630	3.2%
22	337	1.7%
21	379	1.9%

availability_60
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	61
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.495484

Minimum	0
Maximum	60
Zeros	3149
Zeros (%)	16.1%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	12
median	39
Q3	58
95-th percentile	60
Maximum	60
Range	60
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	22.844232
Coefficient of variation (CV)	0.66223836
Kurtosis	-1.4514844
Mean	34.495484
Median Absolute Deviation (MAD)	20
Skewness	-0.33150731
Sum	675939
Variance	521.85895
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3149	16.1%
60	2781	14.2%
59	1583	8.1%
58	802	4.1%
57	610	3.1%
53	564	2.9%
55	268	1.4%
51	266	1.4%
56	255	1.3%
52	248	1.3%
Other values (51)	9069	46.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3149	16.1%
1	196	1.0%
2	136	0.7%
3	105	0.5%
4	138	0.7%
5	138	0.7%
6	139	0.7%
7	154	0.8%
8	157	0.8%
9	166	0.8%

Value	Count	Frequency (%)
60	2781	14.2%
59	1583	8.1%
58	802	4.1%
57	610	3.1%
56	255	1.3%
55	268	1.4%
54	241	1.2%
53	564	2.9%
52	248	1.3%
51	266	1.4%

availability_90
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	91
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.587395

Minimum	0
Maximum	90
Zeros	2694
Zeros (%)	13.7%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	29
median	65
Q3	88
95-th percentile	90
Maximum	90
Range	90
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	33.041334
Coefficient of variation (CV)	0.59440336
Kurtosis	-1.1791094
Mean	55.587395
Median Absolute Deviation (MAD)	24
Skewness	-0.55234685
Sum	1089235
Variance	1091.7298
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2694	13.7%
90	2640	13.5%
89	1553	7.9%
88	767	3.9%
87	580	3.0%
83	531	2.7%
81	240	1.2%
84	225	1.1%
82	224	1.1%
85	222	1.1%
Other values (81)	9919	50.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2694	13.7%
1	171	0.9%
2	89	0.5%
3	72	0.4%
4	80	0.4%
5	57	0.3%
6	74	0.4%
7	78	0.4%
8	75	0.4%
9	85	0.4%

Value	Count	Frequency (%)
90	2640	13.5%
89	1553	7.9%
88	767	3.9%
87	580	3.0%
86	221	1.1%
85	222	1.1%
84	225	1.1%
83	531	2.7%
82	224	1.1%
81	240	1.2%

availability_365
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	366
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	186.12243

Minimum	0
Maximum	365
Zeros	1752
Zeros (%)	8.9%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	74
median	171
Q3	327
95-th percentile	365
Maximum	365
Range	365
Interquartile range (IQR)	253

Descriptive statistics

Standard deviation	130.24702
Coefficient of variation (CV)	0.69979216
Kurtosis	-1.4763082
Mean	186.12243
Median Absolute Deviation (MAD)	118
Skewness	0.081918411
Sum	3647069
Variance	16964.285
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1752	8.9%
365	1504	7.7%
364	580	3.0%
89	408	2.1%
90	301	1.5%
363	290	1.5%
358	256	1.3%
362	244	1.2%
88	214	1.1%
87	159	0.8%
Other values (356)	13887	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1752	8.9%
1	70	0.4%
2	38	0.2%
3	32	0.2%
4	53	0.3%
5	24	0.1%
6	31	0.2%
7	39	0.2%
8	45	0.2%
9	46	0.2%

Value	Count	Frequency (%)
365	1504	7.7%
364	580	3.0%
363	290	1.5%
362	244	1.2%
361	131	0.7%
360	105	0.5%
359	108	0.6%
358	256	1.3%
357	115	0.6%
356	99	0.5%

calendar_last_scraped
Date

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Minimum	2023-09-22 00:00:00
Maximum	2023-09-23 00:00:00

Histogram

Histogram with fixed size bins (bins=2)

number_of_reviews
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	313
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.94075

Minimum	0
Maximum	618
Zeros	5291
Zeros (%)	27.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	17
95-th percentile	85
Maximum	618
Range	618
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	38.825275
Coefficient of variation (CV)	2.1640831
Kurtosis	37.084487
Mean	17.94075
Median Absolute Deviation (MAD)	4
Skewness	4.9328695
Sum	351549
Variance	1507.402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5291	27.0%
1	2151	11.0%
2	1375	7.0%
3	949	4.8%
4	750	3.8%
5	598	3.1%
6	516	2.6%
7	405	2.1%
8	395	2.0%
9	367	1.9%
Other values (303)	6798	34.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5291	27.0%
1	2151	11.0%
2	1375	7.0%
3	949	4.8%
4	750	3.8%
5	598	3.1%
6	516	2.6%
7	405	2.1%
8	395	2.0%
9	367	1.9%

Value	Count	Frequency (%)
618	1	< 0.1%
611	1	< 0.1%
577	1	< 0.1%
542	1	< 0.1%
540	1	< 0.1%
517	1	< 0.1%
510	1	< 0.1%
480	1	< 0.1%
471	1	< 0.1%
448	1	< 0.1%

number_of_reviews_ltm
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	88
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.8941567

Minimum	0
Maximum	133
Zeros	7356
Zeros (%)	37.5%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	9
95-th percentile	31
Maximum	133
Range	133
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	11.140708
Coefficient of variation (CV)	1.6159638
Kurtosis	8.2913333
Mean	6.8941567
Median Absolute Deviation (MAD)	2
Skewness	2.4890635
Sum	135091
Variance	124.11537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7356	37.5%
1	2231	11.4%
2	1349	6.9%
3	922	4.7%
4	712	3.6%
5	544	2.8%
6	477	2.4%
7	421	2.1%
8	412	2.1%
9	379	1.9%
Other values (78)	4792	24.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7356	37.5%
1	2231	11.4%
2	1349	6.9%
3	922	4.7%
4	712	3.6%
5	544	2.8%
6	477	2.4%
7	421	2.1%
8	412	2.1%
9	379	1.9%

Value	Count	Frequency (%)
133	1	< 0.1%
120	1	< 0.1%
100	2	< 0.1%
99	1	< 0.1%
88	2	< 0.1%
87	1	< 0.1%
85	2	< 0.1%
84	1	< 0.1%
82	1	< 0.1%
81	3	< 0.1%

number_of_reviews_l30d
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.61306456

Minimum	0
Maximum	12
Zeros	13624
Zeros (%)	69.5%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1812875
Coefficient of variation (CV)	1.9268567
Kurtosis	8.4905257
Mean	0.61306456
Median Absolute Deviation (MAD)	0
Skewness	2.5781778
Sum	12013
Variance	1.3954402
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	13624	69.5%
1	2825	14.4%
2	1576	8.0%
3	847	4.3%
4	387	2.0%
5	185	0.9%
6	86	0.4%
7	40	0.2%
8	12	0.1%
10	5	< 0.1%
Other values (3)	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13624	69.5%
1	2825	14.4%
2	1576	8.0%
3	847	4.3%
4	387	2.0%
5	185	0.9%
6	86	0.4%
7	40	0.2%
8	12	0.1%
9	5	< 0.1%

Value	Count	Frequency (%)
12	2	< 0.1%
11	1	< 0.1%
10	5	< 0.1%
9	5	< 0.1%
8	12	0.1%
7	40	0.2%
6	86	0.4%
5	185	0.9%
4	387	2.0%
3	847	4.3%

first_review
Text

Distinct	2579
Distinct (%)	13.2%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	10
Median length	10
Mean length	9.1899464
Min length	7

Characters and Unicode

Total characters	180077
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1013 ?
Unique (%)	5.2%

Sample

1st row	2011-11-17
2nd row	2011-11-02
3rd row	2014-03-03
4th row	2010-07-15
5th row	2010-06-07

Value	Count	Frequency (%)
no_info	5291	27.0%
2023-02-22	280	1.4%
2023-01-02	245	1.3%
2022-09-05	208	1.1%
2022-09-11	206	1.1%
2022-09-04	197	1.0%
2023-02-21	173	0.9%
2022-09-12	173	0.9%
2023-09-10	172	0.9%
2022-01-02	134	0.7%
Other values (2569)	12516	63.9%

Most occurring characters

Value	Count	Frequency (%)
2	37866	21.0%
0	34010	18.9%
-	28608	15.9%
1	17008	9.4%
n	10582	5.9%
o	10582	5.9%
3	8169	4.5%
_	5291	2.9%
i	5291	2.9%
f	5291	2.9%
Other values (6)	17379	9.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	114432	63.5%
Lowercase Letter	31746	17.6%
Dash Punctuation	28608	15.9%
Connector Punctuation	5291	2.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	37866	33.1%
0	34010	29.7%
1	17008	14.9%
3	8169	7.1%
9	4305	3.8%
6	2853	2.5%
8	2758	2.4%
7	2580	2.3%
4	2569	2.2%
5	2314	2.0%

Lowercase Letter

Value	Count	Frequency (%)
n	10582	33.3%
o	10582	33.3%
i	5291	16.7%
f	5291	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	28608	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5291	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	148331	82.4%
Latin	31746	17.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	37866	25.5%
0	34010	22.9%
-	28608	19.3%
1	17008	11.5%
3	8169	5.5%
_	5291	3.6%
9	4305	2.9%
6	2853	1.9%
8	2758	1.9%
7	2580	1.7%
Other values (2)	4883	3.3%

Latin

Value	Count	Frequency (%)
n	10582	33.3%
o	10582	33.3%
i	5291	16.7%
f	5291	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	180077	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	37866	21.0%
0	34010	18.9%
-	28608	15.9%
1	17008	9.4%
n	10582	5.9%
o	10582	5.9%
3	8169	4.5%
_	5291	2.9%
i	5291	2.9%
f	5291	2.9%
Other values (6)	17379	9.7%

last_review
Text

Distinct	1062
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Length

Max length	10
Median length	10
Mean length	9.1899464
Min length	7

Characters and Unicode

Total characters	180077
Distinct characters	16
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	477 ?
Unique (%)	2.4%

Sample

1st row	2023-09-11
2nd row	2016-08-21
3rd row	2023-09-05
4th row	2023-09-11
5th row	2023-09-07

Value	Count	Frequency (%)
no_info	5291	27.0%
2023-09-10	1285	6.6%
2023-09-18	534	2.7%
2023-09-17	513	2.6%
2023-09-11	485	2.5%
2023-02-22	424	2.2%
2023-02-21	284	1.4%
2023-09-19	249	1.3%
2023-06-11	245	1.3%
2023-09-03	238	1.2%
Other values (1052)	10047	51.3%

Most occurring characters

Value	Count	Frequency (%)
2	37201	20.7%
0	33919	18.8%
-	28608	15.9%
3	14395	8.0%
1	11045	6.1%
n	10582	5.9%
o	10582	5.9%
9	7134	4.0%
_	5291	2.9%
i	5291	2.9%
Other values (6)	16029	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	114432	63.5%
Lowercase Letter	31746	17.6%
Dash Punctuation	28608	15.9%
Connector Punctuation	5291	2.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	37201	32.5%
0	33919	29.6%
3	14395	12.6%
1	11045	9.7%
9	7134	6.2%
8	3374	2.9%
7	2400	2.1%
6	1876	1.6%
4	1624	1.4%
5	1464	1.3%

Lowercase Letter

Value	Count	Frequency (%)
n	10582	33.3%
o	10582	33.3%
i	5291	16.7%
f	5291	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	28608	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5291	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	148331	82.4%
Latin	31746	17.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	37201	25.1%
0	33919	22.9%
-	28608	19.3%
3	14395	9.7%
1	11045	7.4%
9	7134	4.8%
_	5291	3.6%
8	3374	2.3%
7	2400	1.6%
6	1876	1.3%
Other values (2)	3088	2.1%

Latin

Value	Count	Frequency (%)
n	10582	33.3%
o	10582	33.3%
i	5291	16.7%
f	5291	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	180077	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	37201	20.7%
0	33919	18.8%
-	28608	15.9%
3	14395	8.0%
1	11045	6.1%
n	10582	5.9%
o	10582	5.9%
9	7134	4.0%
_	5291	2.9%
i	5291	2.9%
Other values (6)	16029	8.9%

review_scores_rating
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

review_scores_accuracy
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

review_scores_cleanliness
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

review_scores_checkin
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

review_scores_communication
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

review_scores_location
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

review_scores_value
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

instant_bookable
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	172.2 KiB

False	14662
True	4933

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	14662	74.8%
True	4933	25.2%

calculated_host_listings_count
Real number (ℝ)

HIGH CORRELATION

Distinct	55
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5259505

Minimum	1
Maximum	163
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	38
Maximum	163
Range	162
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	21.520368
Coefficient of variation (CV)	2.5241019
Kurtosis	28.598316
Mean	8.5259505
Median Absolute Deviation (MAD)	1
Skewness	5.0243436
Sum	167066
Variance	463.12624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	9109	46.5%
2	2907	14.8%
3	1433	7.3%
4	902	4.6%
5	551	2.8%
6	483	2.5%
7	364	1.9%
8	332	1.7%
10	229	1.2%
12	218	1.1%
Other values (45)	3067	15.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9109	46.5%
2	2907	14.8%
3	1433	7.3%
4	902	4.6%
5	551	2.8%
6	483	2.5%
7	364	1.9%
8	332	1.7%
9	179	0.9%
10	229	1.2%

Value	Count	Frequency (%)
163	46	0.2%
159	159	0.8%
131	9	< 0.1%
119	116	0.6%
88	33	0.2%
77	77	0.4%
67	67	0.3%
62	59	0.3%
58	58	0.3%
53	33	0.2%

calculated_host_listings_count_entire_homes
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	54
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.7200306

Minimum	0
Maximum	159
Zeros	2928
Zeros (%)	14.9%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	3
95-th percentile	37
Maximum	159
Range	159
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	21.475058
Coefficient of variation (CV)	2.7817322
Kurtosis	28.782856
Mean	7.7200306
Median Absolute Deviation (MAD)	1
Skewness	5.0592933
Sum	151274
Variance	461.17812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	8772	44.8%
0	2928	14.9%
2	2098	10.7%
3	936	4.8%
4	564	2.9%
5	386	2.0%
7	284	1.4%
6	271	1.4%
8	246	1.3%
10	189	1.0%
Other values (44)	2921	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2928	14.9%
1	8772	44.8%
2	2098	10.7%
3	936	4.8%
4	564	2.9%
5	386	2.0%
6	271	1.4%
7	284	1.4%
8	246	1.3%
9	124	0.6%

Value	Count	Frequency (%)
159	159	0.8%
158	46	0.2%
131	9	< 0.1%
119	116	0.6%
87	33	0.2%
77	77	0.4%
64	67	0.3%
62	59	0.3%
58	58	0.3%
53	33	0.2%

calculated_host_listings_count_private_rooms
Real number (ℝ)

ZEROS

Distinct	17
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.69645318

Minimum	0
Maximum	18
Zeros	14342
Zeros (%)	73.2%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	18
Range	18
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.8282165
Coefficient of variation (CV)	2.6250386
Kurtosis	31.698439
Mean	0.69645318
Median Absolute Deviation (MAD)	0
Skewness	4.9099503
Sum	13647
Variance	3.3423754
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	14342	73.2%
1	2476	12.6%
2	1077	5.5%
3	730	3.7%
4	258	1.3%
5	249	1.3%
6	115	0.6%
7	60	0.3%
8	55	0.3%
12	48	0.2%
Other values (7)	185	0.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14342	73.2%
1	2476	12.6%
2	1077	5.5%
3	730	3.7%
4	258	1.3%
5	249	1.3%
6	115	0.6%
7	60	0.3%
8	55	0.3%
9	43	0.2%

Value	Count	Frequency (%)
18	27	0.1%
17	18	0.1%
15	38	0.2%
13	18	0.1%
12	48	0.2%
11	31	0.2%
10	10	0.1%
9	43	0.2%
8	55	0.3%
7	60	0.3%

calculated_host_listings_count_shared_rooms
Real number (ℝ)

ZEROS

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.10364889

Minimum	0
Maximum	15
Zeros	19063
Zeros (%)	97.3%
Negative	0
Negative (%)	0.0%
Memory size	306.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	15
Range	15
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.90597264
Coefficient of variation (CV)	8.7407848
Kurtosis	166.85863
Mean	0.10364889
Median Absolute Deviation (MAD)	0
Skewness	12.17906
Sum	2031
Variance	0.82078642
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	19063	97.3%
1	220	1.1%
2	79	0.4%
3	60	0.3%
5	34	0.2%
4	28	0.1%
15	25	0.1%
8	25	0.1%
13	20	0.1%
7	11	0.1%
Other values (4)	30	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19063	97.3%
1	220	1.1%
2	79	0.4%
3	60	0.3%
4	28	0.1%
5	34	0.2%
6	9	< 0.1%
7	11	0.1%
8	25	0.1%
9	7	< 0.1%

Value	Count	Frequency (%)
15	25	0.1%
13	20	0.1%
12	11	0.1%
10	3	< 0.1%
9	7	< 0.1%
8	25	0.1%
7	11	0.1%
6	9	< 0.1%
5	34	0.2%
4	28	0.1%

reviews_per_month
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Auto

Heatmap
Table

	id	host_id	latitude	longitude	accommodates	price	minimum_nights	maximum_nights	minimum_minimum_nights	maximum_minimum_nights	minimum_maximum_nights	maximum_maximum_nights	minimum_nights_avg_ntm	maximum_nights_avg_ntm	availability_30	availability_60	availability_90	availability_365	number_of_reviews	number_of_reviews_ltm	number_of_reviews_l30d	calculated_host_listings_count	calculated_host_listings_count_entire_homes	calculated_host_listings_count_private_rooms	calculated_host_listings_count_shared_rooms	source	host_response_time	host_is_superhost	host_verifications	host_has_profile_pic	host_identity_verified	room_type	bathrooms_text	has_availability	instant_bookable
id	1.000	0.415	-0.015	-0.003	-0.057	-0.104	-0.303	0.335	-0.285	-0.217	0.181	0.174	-0.287	0.174	0.113	0.110	0.107	0.060	-0.383	-0.103	0.062	0.105	0.065	0.033	0.026	0.119	0.098	0.067	0.067	0.091	0.071	0.032	0.080	0.090	0.059
host_id	0.415	1.000	0.020	-0.092	-0.054	-0.121	-0.220	0.133	-0.211	-0.239	0.112	0.105	-0.243	0.107	0.132	0.134	0.132	0.062	-0.189	-0.063	-0.002	-0.180	-0.196	0.012	0.070	0.084	0.093	0.097	0.122	0.194	0.120	0.063	0.055	0.102	0.077
latitude	-0.015	0.020	1.000	0.551	-0.155	-0.326	-0.045	-0.015	-0.046	-0.089	0.009	-0.005	-0.056	0.000	0.001	-0.008	-0.004	0.009	-0.035	-0.041	-0.031	-0.083	-0.157	0.095	0.094	0.046	0.071	0.060	0.040	0.028	0.057	0.103	0.088	0.049	0.043
longitude	-0.003	-0.092	0.551	1.000	-0.061	-0.181	0.078	-0.048	0.061	0.107	-0.010	-0.001	0.097	-0.003	-0.172	-0.204	-0.198	-0.155	0.164	0.164	0.127	0.046	0.051	-0.044	0.025	0.000	0.106	0.076	0.044	0.045	0.069	0.077	0.109	0.078	0.059
accommodates	-0.057	-0.054	-0.155	-0.061	1.000	0.512	0.110	-0.007	0.109	0.154	-0.034	-0.016	0.130	-0.023	-0.016	-0.023	-0.019	0.029	-0.008	-0.002	0.001	0.020	0.292	-0.371	-0.076	0.015	0.037	0.037	0.017	0.003	0.024	0.295	0.307	0.046	0.007
price	-0.104	-0.121	-0.326	-0.181	0.512	1.000	0.189	-0.040	0.208	0.165	-0.124	-0.121	0.195	-0.126	0.113	0.128	0.124	0.122	-0.240	-0.258	-0.225	-0.032	0.189	-0.272	-0.134	0.060	0.136	0.085	0.023	0.012	0.065	0.123	0.238	0.124	0.047
minimum_nights	-0.303	-0.220	-0.045	0.078	0.110	0.189	1.000	-0.227	0.940	0.748	-0.147	-0.154	0.960	-0.152	-0.138	-0.132	-0.129	-0.148	-0.039	-0.105	-0.111	-0.065	0.118	-0.213	-0.103	0.079	0.024	0.010	0.000	0.000	0.000	0.000	0.018	0.050	0.018
maximum_nights	0.335	0.133	-0.015	-0.048	-0.007	-0.040	-0.227	1.000	-0.217	-0.159	0.564	0.543	-0.216	0.547	0.102	0.100	0.102	0.177	-0.143	-0.054	-0.019	0.223	0.147	0.079	0.056	0.083	0.076	0.070	0.047	0.068	0.047	0.063	0.045	0.068	0.042
minimum_minimum_nights	-0.285	-0.211	-0.046	0.061	0.109	0.208	0.940	-0.217	1.000	0.705	-0.164	-0.175	0.920	-0.172	-0.107	-0.100	-0.099	-0.124	-0.083	-0.149	-0.151	-0.071	0.103	-0.198	-0.096	0.081	0.025	0.010	0.000	0.000	0.000	0.000	0.022	0.050	0.018
maximum_minimum_nights	-0.217	-0.239	-0.089	0.107	0.154	0.165	0.748	-0.159	0.705	1.000	-0.088	-0.047	0.854	-0.058	-0.164	-0.157	-0.148	-0.140	0.084	0.064	0.056	0.116	0.272	-0.209	-0.088	0.083	0.022	0.011	0.000	0.000	0.000	0.000	0.017	0.049	0.018
minimum_maximum_nights	0.181	0.112	0.009	-0.010	-0.034	-0.124	-0.147	0.564	-0.164	-0.088	1.000	0.941	-0.142	0.965	0.012	-0.001	-0.002	0.026	0.085	0.136	0.112	0.130	0.087	0.034	0.034	0.092	0.138	0.131	0.050	0.077	0.072	0.098	0.092	0.098	0.337
maximum_maximum_nights	0.174	0.105	-0.005	-0.001	-0.016	-0.121	-0.154	0.543	-0.175	-0.047	0.941	1.000	-0.136	0.993	-0.005	-0.018	-0.019	0.004	0.127	0.178	0.147	0.166	0.126	0.024	0.025	0.100	0.148	0.143	0.052	0.077	0.084	0.096	0.092	0.107	0.390
minimum_nights_avg_ntm	-0.287	-0.243	-0.056	0.097	0.130	0.195	0.960	-0.216	0.920	0.854	-0.142	-0.136	1.000	-0.138	-0.152	-0.145	-0.140	-0.148	-0.004	-0.059	-0.068	0.001	0.186	-0.222	-0.106	0.080	0.025	0.009	0.000	0.000	0.000	0.000	0.021	0.050	0.018
maximum_nights_avg_ntm	0.174	0.107	0.000	-0.003	-0.023	-0.126	-0.152	0.547	-0.172	-0.058	0.965	0.993	-0.138	1.000	-0.001	-0.014	-0.016	0.006	0.120	0.170	0.141	0.152	0.112	0.027	0.028	0.089	0.150	0.147	0.055	0.077	0.084	0.093	0.088	0.106	0.371
availability_30	0.113	0.132	0.001	-0.172	-0.016	0.113	-0.138	0.102	-0.107	-0.164	0.012	-0.005	-0.152	-0.001	1.000	0.961	0.932	0.619	-0.270	-0.226	-0.157	-0.004	-0.121	0.154	0.094	0.535	0.196	0.198	0.041	0.054	0.096	0.129	0.069	0.203	0.121
availability_60	0.110	0.134	-0.008	-0.204	-0.023	0.128	-0.132	0.100	-0.100	-0.157	-0.001	-0.018	-0.145	-0.014	0.961	1.000	0.982	0.654	-0.297	-0.254	-0.177	-0.011	-0.129	0.158	0.093	0.590	0.225	0.215	0.044	0.055	0.116	0.135	0.071	0.224	0.124
availability_90	0.107	0.132	-0.004	-0.198	-0.019	0.124	-0.129	0.102	-0.099	-0.148	-0.002	-0.019	-0.140	-0.016	0.932	0.982	1.000	0.677	-0.288	-0.243	-0.167	-0.007	-0.123	0.153	0.095	0.643	0.239	0.217	0.042	0.054	0.126	0.131	0.068	0.242	0.114
availability_365	0.060	0.062	0.009	-0.155	0.029	0.122	-0.148	0.177	-0.124	-0.140	0.026	0.004	-0.148	0.006	0.619	0.654	0.677	1.000	-0.202	-0.161	-0.127	0.002	-0.087	0.109	0.069	0.702	0.201	0.168	0.042	0.047	0.104	0.096	0.065	0.259	0.073
number_of_reviews	-0.383	-0.189	-0.035	0.164	-0.008	-0.240	-0.039	-0.143	-0.083	0.084	0.085	0.127	-0.004	0.120	-0.270	-0.297	-0.288	-0.202	1.000	0.872	0.558	0.067	0.142	-0.132	-0.074	0.051	0.090	0.178	0.020	0.027	0.072	0.045	0.000	0.042	0.076
number_of_reviews_ltm	-0.103	-0.063	-0.041	0.164	-0.002	-0.258	-0.105	-0.054	-0.149	0.064	0.136	0.178	-0.059	0.170	-0.226	-0.254	-0.243	-0.161	0.872	1.000	0.676	0.091	0.176	-0.153	-0.070	0.113	0.165	0.286	0.021	0.042	0.083	0.072	0.035	0.073	0.124
number_of_reviews_l30d	0.062	-0.002	-0.031	0.127	0.001	-0.225	-0.111	-0.019	-0.151	0.056	0.112	0.147	-0.068	0.141	-0.157	-0.177	-0.167	-0.127	0.558	0.676	1.000	0.057	0.135	-0.134	-0.056	0.122	0.159	0.199	0.000	0.020	0.065	0.056	0.029	0.067	0.109
calculated_host_listings_count	0.105	-0.180	-0.083	0.046	0.020	-0.032	-0.065	0.223	-0.071	0.116	0.130	0.166	0.001	0.152	-0.004	-0.011	-0.007	0.002	0.067	0.091	0.057	1.000	0.712	0.250	0.134	0.063	0.147	0.111	0.086	0.037	0.104	0.073	0.125	0.053	0.221
calculated_host_listings_count_entire_homes	0.065	-0.196	-0.157	0.051	0.292	0.189	0.118	0.147	0.103	0.272	0.087	0.126	0.186	0.112	-0.121	-0.129	-0.123	-0.087	0.142	0.176	0.135	0.712	1.000	-0.363	-0.157	0.057	0.146	0.118	0.090	0.026	0.102	0.094	0.125	0.052	0.221
calculated_host_listings_count_private_rooms	0.033	0.012	0.095	-0.044	-0.371	-0.272	-0.213	0.079	-0.198	-0.209	0.034	0.024	-0.222	0.027	0.154	0.158	0.153	0.109	-0.132	-0.153	-0.134	0.250	-0.363	1.000	0.186	0.029	0.069	0.070	0.050	0.023	0.030	0.329	0.228	0.037	0.125
calculated_host_listings_count_shared_rooms	0.026	0.070	0.094	0.025	-0.076	-0.134	-0.103	0.056	-0.096	-0.088	0.034	0.025	-0.106	0.028	0.094	0.093	0.095	0.069	-0.074	-0.070	-0.056	0.134	-0.157	0.186	1.000	0.008	0.048	0.029	0.009	0.000	0.008	0.344	0.232	0.000	0.086
source	0.119	0.084	0.046	0.000	0.015	0.060	0.079	0.083	0.081	0.083	0.092	0.100	0.080	0.089	0.535	0.590	0.643	0.702	0.051	0.113	0.122	0.063	0.057	0.029	0.008	1.000	0.321	0.086	0.078	0.031	0.110	0.010	0.000	0.361	0.062
host_response_time	0.098	0.093	0.071	0.106	0.037	0.136	0.024	0.076	0.025	0.022	0.138	0.148	0.025	0.150	0.196	0.225	0.239	0.201	0.090	0.165	0.159	0.147	0.146	0.069	0.048	0.321	1.000	0.298	0.063	0.073	0.191	0.074	0.082	0.263	0.230
host_is_superhost	0.067	0.097	0.060	0.076	0.037	0.085	0.010	0.070	0.010	0.011	0.131	0.143	0.009	0.147	0.198	0.215	0.217	0.168	0.178	0.286	0.199	0.111	0.118	0.070	0.029	0.086	0.298	1.000	0.090	0.064	0.102	0.058	0.061	0.100	0.068
host_verifications	0.067	0.122	0.040	0.044	0.017	0.023	0.000	0.047	0.000	0.000	0.050	0.052	0.000	0.055	0.041	0.044	0.042	0.042	0.020	0.021	0.000	0.086	0.090	0.050	0.009	0.078	0.063	0.090	1.000	0.717	0.711	0.040	0.016	0.145	0.054
host_has_profile_pic	0.091	0.194	0.028	0.045	0.003	0.012	0.000	0.068	0.000	0.000	0.077	0.077	0.000	0.077	0.054	0.055	0.054	0.047	0.027	0.042	0.020	0.037	0.026	0.023	0.000	0.031	0.073	0.064	0.717	1.000	0.708	0.000	0.000	0.070	0.022
host_identity_verified	0.071	0.120	0.057	0.069	0.024	0.065	0.000	0.047	0.000	0.000	0.072	0.084	0.000	0.084	0.096	0.116	0.126	0.104	0.072	0.083	0.065	0.104	0.102	0.030	0.008	0.110	0.191	0.102	0.711	0.708	1.000	0.043	0.037	0.228	0.059
room_type	0.032	0.063	0.103	0.077	0.295	0.123	0.000	0.063	0.000	0.000	0.098	0.096	0.000	0.093	0.129	0.135	0.131	0.096	0.045	0.072	0.056	0.073	0.094	0.329	0.344	0.010	0.074	0.058	0.040	0.000	0.043	1.000	0.540	0.022	0.043
bathrooms_text	0.080	0.055	0.088	0.109	0.307	0.238	0.018	0.045	0.022	0.017	0.092	0.092	0.021	0.088	0.069	0.071	0.068	0.065	0.000	0.035	0.029	0.125	0.125	0.228	0.232	0.000	0.082	0.061	0.016	0.000	0.037	0.540	1.000	0.071	0.093
has_availability	0.090	0.102	0.049	0.078	0.046	0.124	0.050	0.068	0.050	0.049	0.098	0.107	0.050	0.106	0.203	0.224	0.242	0.259	0.042	0.073	0.067	0.053	0.052	0.037	0.000	0.361	0.263	0.100	0.145	0.070	0.228	0.022	0.071	1.000	0.093
instant_bookable	0.059	0.077	0.043	0.059	0.007	0.047	0.018	0.042	0.018	0.018	0.337	0.390	0.018	0.371	0.121	0.124	0.114	0.073	0.076	0.124	0.109	0.221	0.221	0.125	0.086	0.062	0.230	0.068	0.054	0.022	0.059	0.043	0.093	0.093	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	listing_url	last_scraped	source	name	description	neighborhood_overview	picture_url	host_id	host_url	host_name	host_since	host_location	host_about	host_response_time	host_response_rate	host_acceptance_rate	host_is_superhost	host_thumbnail_url	host_picture_url	host_neighbourhood	host_listings_count	host_total_listings_count	host_verifications	host_has_profile_pic	host_identity_verified	neighbourhood	neighbourhood_cleansed	latitude	longitude	property_type	room_type	accommodates	bathrooms_text	bedrooms	beds	amenities	price	minimum_nights	maximum_nights	minimum_minimum_nights	maximum_minimum_nights	minimum_maximum_nights	maximum_maximum_nights	minimum_nights_avg_ntm	maximum_nights_avg_ntm	has_availability	availability_30	availability_60	availability_90	availability_365	calendar_last_scraped	number_of_reviews	number_of_reviews_ltm	number_of_reviews_l30d	first_review	last_review	review_scores_rating	review_scores_accuracy	review_scores_cleanliness	review_scores_checkin	review_scores_communication	review_scores_location	review_scores_value	instant_bookable	calculated_host_listings_count	calculated_host_listings_count_entire_homes	calculated_host_listings_count_private_rooms	reviews_per_month
0	231497	https://www.airbnb.com/rooms/231497	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★4.73 · 1 bedroom · 1 bed · 1 bath	this is a big studio at the end of copacabana walking distance to arpoador and ipanema which can accomodate persons in a double bed and another on couches which can be opened to sleep onclose to commercial area and public transportationthe spacespacious flat with double bed air conditioner tv linen ceiling fan small kitchen and bathroom there is also sofabed which can accommodate more people for an additional charge of us each hour doorman walking distance to ipanema the flat is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you also have means of transport to anywhere in rio buses subway theres is a subway station two blocks away from the flat and taxis you are very close to the fortress of copacabana a main touristic attraction where you ha	no_info	https://a0.muscache.com/pictures/3582382/ee8acc55_original.jpg	1207700	https://www.airbnb.com/users/show/1207700	Maria Luiza	2011-09-25	Rio de Janeiro, Brazil	Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade.\n\n \nFalo e escrevo em Inglês, francês, espanhol e português.	within a few hours	100%	82%	f	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium	Copacabana	4.0	8.0	['email', 'phone']	t	t	no_info	Copacabana	-22.98238	-43.19215	Entire rental unit	Entire home/apt	4	1 bath	1.0	1.0	["Hangers", "Body soap", "Elevator", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "TV", "Iron", "Dining table", "Ceiling fan", "Essentials", "Public or shared beach access \u2013 Beachfront", "Refrigerator", "Coffee maker: drip coffee maker", "Gas stove", "Hot water", "Extra pillows and blankets", "Kitchen", "Air conditioning"]	180.0	3	89	3	3	89	89	3.0	89.0	t	0	0	0	204	2023-09-22	78	9	1	2011-11-17	2023-09-11	4.73	4.83	4.86	4.89	4.92	4.9	4.65	f	4	4	0	0.54
1	231516	https://www.airbnb.com/rooms/231516	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed	special location of the building on copacabana beach although the apartment does not have an ocean view but its great for people who love the sea and for the ones staying for new years accomodates up to personsthe spacespacious apartment with one bedroom comfortable double bed air conditioner tv linenlivingroom with a double sofabed more people can be accommodated small kitchen bathroom ceiling fans hour doorman walking distance to ipanema the building is on copacabana beach but the apartment does not have bech view its at the back of the building facing the street behindthe apartment is very well located near the commercial area supermarkets restaurants banks bars and night clubs the very end of copacabana is a much better area to stay due to its proximity to ipanema you are very close to the fortress of copacabana a main tourist attraction where you have the most fantastic view of the famous copacab	no_info	https://a0.muscache.com/pictures/3671683/d74b44a4_original.jpg	1207700	https://www.airbnb.com/users/show/1207700	Maria Luiza	2011-09-25	Rio de Janeiro, Brazil	Meu nome é Maria Luiza, adoro ajudar meus hóspedes, pois vivi muito tempo no exterior, falo várias línguas, e entendo como é viver fora da sua cidade.\n\n \nFalo e escrevo em Inglês, francês, espanhol e português.	within a few hours	100%	82%	f	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_small	https://a0.muscache.com/im/users/1207700/profile_pic/1316987019/original.jpg?aki_policy=profile_x_medium	Copacabana	4.0	8.0	['email', 'phone']	t	t	no_info	Copacabana	-22.97787	-43.18792	Entire rental unit	Entire home/apt	4	no_info	1.0	1.0	["TV", "Kitchen", "Wifi", "Elevator", "Air conditioning"]	350.0	3	89	3	3	89	89	3.0	89.0	t	0	0	1	113	2023-09-22	29	0	0	2011-11-02	2016-08-21	4.71	4.76	4.52	4.79	4.86	4.93	4.38	f	4	4	0	0.2
2	236991	https://www.airbnb.com/rooms/236991	2023-09-23	city scrape	Rental unit in Rio de Janeiro · ★4.89 · 1 bedroom · 4 beds · 1 bath	aconchegante amplo bsico arejado iluminado com luz natural em prdio seguro e familiar prdio com portaria horas e cameras de segurana em todos os andares do edifcio tudo isto em copacabana a quase quadra do mar o segundo prdio da segunda quadra da praia est localizado na av prado junior quase esquina com av nsra de copacabanathe spaceo apartamento possui moblia bsica mas a necessria para voce se sentir em um espao limpo confortvel e aconchegante tambm tem os eletrodomesticos bsicos que no podem faltar em um apto como microondas cafeteira eltrica mquina de lavar fogo tv e geladeira todos a volts e um guardaroupas grande onde voc pode colocar suas malas roupas e pertences na sala h uma mesa com cadeiras um sof cama casal tipo fouton no quarto uma cama box de casal ortobom master pocket de molas ensacadas e camas de solteiro uma delas ortobom e bicama o apto tambm tem ar condicionado e ventil	Copacabana, apelidada a princesinha do mar, faz juz ao apelido.<br />Além de possuir uma das praias mais famosas e charmosas do Rio de Janeiro fornece ao turista ampla estrutura com variedade de restaurantes, agências de turismos, casas de câmbio, supermercados, drogarias, e a poucos passos um grande shopping (Rio Sul) e etc.	https://a0.muscache.com/pictures/5725a59b-147d-4bf2-99f2-ba67f55ee770.jpg	1241662	https://www.airbnb.com/users/show/1241662	Nilda	2011-10-03	Rio de Janeiro, Brazil	Hellow ! Im Nilda! I love Rio de Janeiro. I work renting apartments for short time. the places are simples! but very clean , safe and well provided with basic staffs to spent a great vacations.\n\nVery well located, next to the beach one of the most famous Rio de Janeiro´ s beach: Copacabana you ll have easy and plenty access by bus and others public \n transportations services to the main and classic touristic points more visited by the travellers in Rio de Janeiro.\n\nWelcome to Rio, welcome to Brazil! \n\n	within an hour	100%	96%	t	https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/fea78163-5495-401a-a620-ed948f59ac91.jpg?aki_policy=profile_x_medium	Copacabana	2.0	2.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Copacabana	-22.96488	-43.17478	Entire rental unit	Entire home/apt	5	1 bath	1.0	4.0	["Clothing storage: wardrobe", "Public or shared beach access", "Hangers", "Esmaltec gas stove", "Elevator", "Cooking basics", "32\" HDTV", "Room-darkening shades", "Bed linens", "Microwave", "Free washer \u2013 In unit", "Drying rack for clothing", "Dishes and silverware", "Cleaning products", "Courtyard view", "Coffee maker", "Iron", "Laundromat nearby", "Dining table", "Ceiling fan", "Blender", "Essentials", "Hot water kettle", "Refrigerator", "Host greets you", "EV charger", "Mountain view", "Hot water", "Oven", "Kitchen", "Window AC unit", "Wifi \u2013 14 Mbps"]	190.0	5	14	4	7	1125	1125	5.0	1125.0	t	14	21	51	51	2023-09-23	76	24	2	2014-03-03	2023-09-05	4.89	4.96	4.91	4.97	4.96	4.99	4.89	f	2	2	0	0.65
3	17878	https://www.airbnb.com/rooms/17878	2023-09-23	city scrape	Condo in Rio de Janeiro · ★4.70 · 2 bedrooms · 2 beds · 1 bath	please note that elevated rates applies for new years and carnival price depends on length of stay and number of people generally i prefer a stay for week or more and a maximum of people at the most contact me and we will discuss bright and sunny large balcony square meters high speed wifi up to mb smart tv you can watch netflix etc if you have an account h doorman minute to walk to copacabana beach silent split air conditioning best spot in riothe space beautiful sunny bedroom square meters in h doorman building min to walk to copacabana beach spacious living room bedrooms with fullsize beds each sleeps large balcony which looks out on pedestrian street no traffic priceless in rio apts with sea view are noisy because of traffic split air condition in each room almost silent like in a hotel smart t	This is the one of the bests spots in Rio. Because of the large balcony and proximity to the beach, it has huge advantages in the current situation.	https://a0.muscache.com/pictures/65320518/30698f38_original.jpg	68997	https://www.airbnb.com/users/show/68997	Matthias	2010-01-08	Rio de Janeiro, Brazil	I am a journalist/writer. Lived in NYC for 15 years. I am now based in Rio and published 3 volumes of travel stories on AMAZ0N: "The World Is My Oyster". If you have never been to Rio, check out the first story, and you'll get an idea. Apart from Rio, you'll find 29 other travel stories from all around the globe.	within an hour	100%	96%	t	https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/67b13cea-8c11-49c0-a08d-7f42c330676e.jpg?aki_policy=profile_x_medium	Copacabana	2.0	5.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Copacabana	-22.96599	-43.17940	Entire condo	Entire home/apt	5	1 bath	2.0	2.0	["Patio or balcony", "Hangers", "Paid parking off premises", "Elevator", "Cooking basics", "Private entrance", "Bed linens", "Microwave", "Wifi", "Dishes and silverware", "Hair dryer", "Self check-in", "Iron", "Building staff", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Smoking allowed", "Bathtub", "Hot water", "Oven", "Air conditioning", "Kitchen", "Luggage dropoff allowed", "Coffee maker"]	279.0	5	28	5	5	28	28	5.0	28.0	t	14	21	38	265	2023-09-23	301	25	1	2010-07-15	2023-09-11	4.7	4.77	4.64	4.83	4.91	4.77	4.67	f	1	1	0	1.87
5	25026	https://www.airbnb.com/rooms/25026	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★4.71 · 1 bedroom · 1 bed · 1 bath	fully renovated in dec new kitchen new bathroom new flooring o apto foi todo renovado piso banheiro e cozinha novos em dez se vc nao tem opiniario no airbnb e nunca usou antes por favor mande mensagem antes falando quem vc our apartment is a little gem everyone loves staying there best location blocks to the subway blocks to the beach close to bars restaurants supermarkets subway wifi cable tv air con and fanthe spacethis newly renovated studio fully renovated dec is in the best location of copacabana situated on a quieter street but just off the main streets right in the middle of everything blocks from the beach block from the subway cantagalo station which places you just a stop away from ipanema you can just walk there too no need to hop on the subway really very close to all local bars and restaurants and very close to ipanema and lagoa walking dis	Copacabana is a lively neighborhood and the apartment is located very close to an area in Copa full of bars, cafes and restaurants at Rua Bolivar and Domingos Ferreira. Copacabana never sleeps, there is always movement and it's a great mix of all kinds of people.	https://a0.muscache.com/pictures/a745aa21-b8dd-4959-a040-eb8e6e6f07ee.jpg	102840	https://www.airbnb.com/users/show/102840	Viviane	2010-04-03	Rio de Janeiro, Brazil	Hi guys,\n\nViviane is a commercial photographer, an avid world traveler, (a former photographer for Airbnb) and an Airbnb superhost. And a free lance photographer for other wonderful clients. She loves life and meeting people.\n\nWe work together in providing the best accommodation to people and we are\nfirm believers of enjoying the moment as a prime attitude towards life!\n	within a few hours	100%	73%	t	https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/315ddc81-bea3-4bf0-8fc7-be197a6541ff.jpg?aki_policy=profile_x_medium	Copacabana	1.0	5.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Copacabana	-22.97735	-43.19105	Entire rental unit	Entire home/apt	3	1 bath	1.0	1.0	["Clothing storage: wardrobe", "Dedicated workspace", "Public or shared beach access", "Hangers", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Single level home", "Microwave", "Wifi", "Drying rack for clothing", "Dishes and silverware", "Hair dryer", "Iron", "Laundromat nearby", "Paid street parking off premises", "Dining table", "Ceiling fan", "Books and reading material", "Blender", "Essentials", "Hammock", "TV with standard cable", "Refrigerator", "Stove", "Host greets you", "Hot water", "Oven", "Kitchen", "Window AC unit", "Coffee maker"]	330.0	2	60	2	2	60	60	2.0	60.0	t	6	11	41	203	2023-09-22	272	24	1	2010-06-07	2023-09-07	4.71	4.69	4.78	4.81	4.92	4.84	4.59	f	1	1	0	1.68
6	238802	https://www.airbnb.com/rooms/238802	2023-09-23	city scrape	Rental unit in Rio · ★4.77 · 3 bedrooms · 4 beds · 2 baths	spacious clean and bright bedroom apartment with bathrooms located at only meters from the famous copacabana beachthe spacefully furnished three bedroom apartment located in copacabana this spacious apartment in copacabana is the right pick for a group of friends or a family this apartment have three bedrooms with double beds a double sofa bed in the living room that can accommodate up to people two complete bathrooms all bedrooms and living room come with split air conditioningwifi is available for your use the kitchen is equipped with stove fridgefreezer microwave coffee maker other electrical appliances and washing machinebed linens and bath towels are includedplease note for long term reservations the utility bills electricity and gas are not included in the rent and will be pay separatelyguest accesswe will meet our gue	What makes Copacabana authentic is mainly because of its beautiful beach and striking pavement pattern. Day in and day out thousands of Cariocas and tourists stroll and jog on the famous wavy mosaic pavement in black and white marble, designed by Roberto Burle Marx.	https://a0.muscache.com/pictures/46b95cc9-d4d6-4a90-b444-5ddaf9ecca11.jpg	235496	https://www.airbnb.com/users/show/235496	Paola E Isak	2010-09-15	Rio de Janeiro, Brazil	Swedish-Colombian couple in love with Rio & Barcelona, always looking for stunning sunsets! \n\nWe will be available by phone during your stay to ensure a smooth and unforgettable experience and to attend any questions you might have. \n_\n\nCasal sueco-colombiano apaixonado pelo Rio e Barcelona.\n\nEstaremos sempre disponíveis por telefone durante sua estadia para atender a quaisquer dúvidas que possam ter e para garantir uma experiência inesquecível.	within an hour	100%	100%	t	https://a0.muscache.com/im/pictures/user/75f13205-20fa-4b70-bd73-71f4b995b58a.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/75f13205-20fa-4b70-bd73-71f4b995b58a.jpg?aki_policy=profile_x_medium	Copacabana	5.0	10.0	['email', 'phone']	t	t	Rio, Rio de Janeiro, Brazil	Copacabana	-22.96386	-43.17757	Entire rental unit	Entire home/apt	8	2 baths	3.0	4.0	["Freezer", "Hangers", "Body soap", "Beach access", "Carbon monoxide alarm", "Kitchen", "Elevator", "Cooking basics", "Room-darkening shades", "Heating", "Baking sheet", "Wine glasses", "Bed linens", "40\" TV with standard cable", "Window guards", "Microwave", "Shower gel", "Free washer \u2013 In unit", "AC - split type ductless system", "Drying rack for clothing", "Smoke alarm", "Wifi", "Cleaning products", "Dishes and silverware", "Ethernet connection", "Hair dryer", "Private patio or balcony", "Coffee maker", "Iron", "Laundromat nearby", "Long term stays allowed", "Dining table", "Toaster", "Waterfront", "Essentials", "First aid kit", "Clothing storage", "Refrigerator", "Host greets you", "Bathtub", "Gas stove", "Hot water", "Oven", "Portable fans", "Extra pillows and blankets"]	642.0	2	180	2	7	1125	1125	2.3	1125.0	t	25	34	51	289	2023-09-23	97	33	2	2011-11-17	2023-09-17	4.77	4.86	4.87	4.9	4.93	4.81	4.64	t	4	4	0	0.67
7	239531	https://www.airbnb.com/rooms/239531	2023-09-23	city scrape	Rental unit in Rio de Janeiro · ★4.58 · 1 bedroom · 2 beds · 1 bath	varanda with a seaside view from the eleventh floor bedroom with a double bed air internetwifi good bathroom living with a sofabed ceiling fan and cable tv and complete kitchen all surrounded with all you may need and steps to the beachvaranda com vista lateral do mar do dcimo primeiro andar quarto com cama de casal ar internetwifi bom banheiro sala com sofcama tv a cabo e ventilador de teto e cozinha completa tudo rodeado de todas as facilidades a passos da praiathe spacebeautiful and quiet one bedroom apartment just meters from copacabana beach on the eleventh floor a very comfortable bedroom with a double bed good linen with soft and fresh shower and face towels in the living room there is a sofa bed accommodate two people a ceiling fan a lcd cable tv high speed internet with wireless connection mb a comfortable bathroom with automatic gas heater and hygienic showerthe kitchen is all e	no_info	https://a0.muscache.com/pictures/12451384/18c18103_original.jpg	792218	https://www.airbnb.com/users/show/792218	Levy	2011-07-07	Rio de Janeiro, Brazil	I live with my wife in Copacabana, Rio, where I was born. I'm a Rio's lover and like to host people from all over the world in our apartments in Copacabana/ Ipanema, with all the necessary tips for a nice stay.\r\nEu vivo com minha esposa em Copacabana, Rio, aonde nasci. Apaixonado pelo Rio, gosto de receber pessoas de todas as partes do mundo nos nossos apartamentos em Copacabana e Ipanema, dando todas as necessárias dicas para uma boa estadia.	within an hour	100%	97%	f	https://a0.muscache.com/im/users/792218/profile_pic/1310233853/original.jpg?aki_policy=profile_small	https://a0.muscache.com/im/users/792218/profile_pic/1310233853/original.jpg?aki_policy=profile_x_medium	Copacabana	10.0	15.0	['email', 'phone']	t	t	no_info	Copacabana	-22.96434	-43.17563	Entire rental unit	Entire home/apt	4	1 bath	1.0	2.0	["Patio or balcony", "Hangers", "Paid parking off premises", "Elevator", "Cooking basics", "Room-darkening shades", "Bed linens", "Pocket wifi", "Microwave", "Paid parking on premises", "Wifi", "Ocean view", "Dishes and silverware", "Ethernet connection", "Hair dryer", "Coffee maker", "Iron", "Fire extinguisher", "Long term stays allowed", "Beach access \u2013 Beachfront", "Beach view", "Babysitter recommendations", "Essentials", "High chair", "TV with standard cable", "Refrigerator", "Stove", "Host greets you", "Hot water", "Extra pillows and blankets", "Oven", "Kitchen", "Air conditioning"]	200.0	2	150	2	2	150	150	2.0	150.0	t	5	13	43	318	2023-09-23	109	12	2	2011-12-08	2023-09-21	4.58	4.66	4.33	4.79	4.81	4.7	4.42	f	10	10	0	0.76
8	35764	https://www.airbnb.com/rooms/35764	2023-09-23	city scrape	Loft in Rio de Janeiro · ★4.90 · 1 bedroom · 1 bed · 1.5 baths	our newly renovated studio is located in the best part of copacabana between posto and posto minutes from the arpoador and ipanema beach security hours a day enjoy your stay in a family bulding living as a local people please check the possibility of flexible checkin and checkout timesthe spacefeel like your home living as carioca local people in a new renovated and refurbished apartment carefully prepared for you the apartment is very clean in a safe and familiar building only studios per floor make sure you will stay in the best place of copacabana posto lifeguard station minutes walking to arpoador and ipanema attention all the pictures are surrounding the apartment and not far away we are pround super host with also full golden stars in all aspects we care about your well beingpackages for carnival is available send a message to uscheck in and	Our guests will experience living with a local peole "Carioca" in a very friendly building with 24 hours a day security with all kind of stores, banks, transports, restaurants.	https://a0.muscache.com/pictures/23782972/1d3e55b0_original.jpg	153691	https://www.airbnb.com/users/show/153691	Patricia Miranda & Paulo	2010-06-27	Rio de Janeiro, Brazil	Hello, We are Patricia Miranda and Paulo.\r\nWe are a couple who love to meet new people, new cultures, we both are very easy going persons, we love to travel, music, dancing, to walk along the beach and chat with friends in a bar in somewhere in Rio. We are retired after working for several years in tourism and an international airline company. Our biggest passion is playing with our 4 american granddaughters . We are gay friendly and everybody is welcome! We look forward to meeting you and sharing advice and recommendation about our wonderful city.\r\n\r\nWe were guest in Buenos Aires, João Pessoa, PB, Brooklin NY, and Manhattan.\r\n\r\n\r\n!	within an hour	100%	96%	t	https://a0.muscache.com/im/users/153691/profile_pic/1277774787/original.jpg?aki_policy=profile_small	https://a0.muscache.com/im/users/153691/profile_pic/1277774787/original.jpg?aki_policy=profile_x_medium	Copacabana	1.0	2.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Copacabana	-22.98107	-43.19136	Entire loft	Entire home/apt	2	1.5 baths	1.0	1.0	["32\" HDTV with standard cable", "Hangers", "Carbon monoxide alarm", "Paid parking off premises", "Elevator", "Cooking basics", "Room-darkening shades", "Heating", "Bed linens", "Pocket wifi", "Microwave", "Wifi", "Smoke alarm", "Dishes and silverware", "Hair dryer", "Coffee maker", "Self check-in", "Iron", "Fire extinguisher", "Building staff", "Beach access \u2013 Beachfront", "Beach view", "Essentials", "Refrigerator", "Stove", "Hot water", "Kitchen", "Window AC unit", "Luggage dropoff allowed", "Extra pillows and blankets"]	192.0	3	15	3	5	7	15	3.0	14.8	t	4	8	11	46	2023-09-23	446	37	1	2010-10-03	2023-09-11	4.9	4.93	4.93	4.97	4.95	4.94	4.89	f	1	1	0	2.82
10	245951	https://www.airbnb.com/rooms/245951	2023-09-23	city scrape	Rental unit in Rio de Janeiro · ★4.86 · 1 bedroom · 2 beds · 1 bath	great space for those who need leisure as well as work we have megs of wifi internet and btus split air conditioning for the greater comfort of your homeofficethe spacecomplete and luxurious apartment blocks from the beach in copacabana the most famous beach in rio de janeiro where one can walk swim in the sea get a tan cycling and exercising outdoors a short walk from the ipanema beach the second most famous beach in rio de janeiro and place that inspired the composer vinicius de moraes when he launched the popular song girl from ipanema litter box for couples sofa beds cable tv internet bed linen sheets lines telephone intercom with concierge full kitchen cabinets with drawers and a safe located close to subway bus stop and taxi making easy access to major sights of rio de janeiro in the region has the best bars and restaurants it is also possible to find all types of trade as pharmacies	no_info	https://a0.muscache.com/pictures/41861094/4e098c3e_original.jpg	1289982	https://www.airbnb.com/users/show/1289982	Carnaval Turismo	2011-10-14	Rio de Janeiro, Brazil	Carnaval Turismo é uma agência de viagens que tem como produto principal o Carnaval e o receptivo no Rio de Janeiro. A Cidade Maravilhosa e um produto como o Carnaval que espelham a alegria de viver e a simpatia do povo carioca nos estimulam a receber BEM os nossos hóspedes. Copacabana é uma " Cidade" : Praia, Sol, Samba, Carnaval, Animação e Conforto na hospedagem, é o melhor que um turista pode desejar ao chegar em uma cidade tão receptiva como o Rio de Janeiro! Welcome!! \nImportante: \nMANTEMOS UM RIGOROSO PROTOCOLO SANITÁRIO DE HOSPEDAGEM DURANTE A PANDEMIA DE COVID-19 ! TOTAL PROTEÇÃOPARA OS NOSSOS HOSPEDES ! \n	within a few hours	100%	83%	f	https://a0.muscache.com/im/pictures/user/23c803d9-09b5-4692-b4fb-bed9c73c769a.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/23c803d9-09b5-4692-b4fb-bed9c73c769a.jpg?aki_policy=profile_x_medium	Copacabana	1.0	1.0	['email', 'phone']	t	t	no_info	Copacabana	-22.96704	-43.18201	Entire rental unit	Entire home/apt	4	1 bath	1.0	2.0	["Private entrance", "Shampoo", "Essentials", "Hair dryer", "Bed linens", "TV with standard cable", "Refrigerator", "Dishes and silverware", "Stove", "Coffee maker", "Hangers", "Microwave", "Hot water", "Iron", "Kitchen", "Window AC unit", "Wifi", "Elevator", "Extra pillows and blankets", "Cooking basics"]	300.0	3	760	2	4	760	760	3.0	760.0	t	30	56	86	342	2023-09-23	14	1	0	2012-03-05	2023-06-11	4.86	5.0	5.0	4.86	4.93	4.86	4.86	f	1	1	0	0.1
11	48305	https://www.airbnb.com/rooms/48305	2023-09-22	city scrape	Rental unit in Ipanema · ★4.74 · 6 bedrooms · 7 beds · 7 baths	enter bossa novas history by staying in the very street reallife girl from ipanema used to each day walk to the sea penthouse with side ocean view six ensuite bedrooms prime location first beachblock heart of ipanema exceptional comfort beachy modern midcentury style designed for digital nomads remotework ready lightningfast internet ms locallyrooted home experiencedriven stay dedicated team authentic and unforgettable rio storythe spacelocated on the first beach block this beachy modern midcentury styled penthouse was designed in a thoughtful way for modern travellersmore than having a place to sleep we understand that guests look for remotework ready locally rooted and experiencedriven properties with a dedicated team taking pride in going the extra mile	Enter Bossa Nova history by staying in the very street where real-life 'Girl From Ipanema' inspired Vinicius de Moraes to write the worldwide famous song, "each day when she walks to the sea".<br /><br />Located seconds from Ipanema Beach's best spot Posto 9, on the first beach block in the heart of Ipanema’s very best neighbourhood, enjoy staying in this elegant and modern hideaway in a peaceful residential street.<br /><br />Ipanema and Leblon are by far the safest locations in Rio, with popular restaurants, cafes and boutique stores walking distance to the apartment.	https://a0.muscache.com/pictures/miso/Hosting-48305/original/cce14bf9-c5b6-44c6-a89f-61323975afdb.jpeg	70933	https://www.airbnb.com/users/show/70933	Goitaca	2010-01-16	Rio de Janeiro, Brazil	A new frontier of hospitality\n\nThe word meaning ‘Nomad’ in the native language of Tupi Guarani, Goitaca symbolizes a new genre of travel, one built with the modern traveler in mind. With locally-rooted and experience-driven stays in homes that are intentionally designed, fully-equipped, and remote-work ready, we’re driven to shift the role of hospitality in the world. Bringing the comfort of a hotel together with the privacy of a home, our residences and customized care provide unique experiences for our guests. \n\nExperience-driven stays that nurture our guests’ well-being \n\nThe well-being and satisfaction of our guests are our utmost focus and we are determined to continue improving the quality and depth of the experiences and stories we’re creating. We believe in delivering remarkable hospitality that is also accessible. By designing, developing, and operating our residences ourselves, we provide unique, personalized stays at a fraction of the cost and pass those savings back to our guests.\n\nA tribute to Brazil\n\nOur wish is that our guests may discover and experience the magic, beauty, and *alegria* of Rio, while paying homage to its history and multi-faceted culture.\n\nBehind Goitaca stands a small and dedicated local team who take pride in going the extra mile to ensure our guests live an easy, authentic, and unforgettable Rio story. Working together since 2011, we have been lucky to welcome over 2,000 guests and continue to connect and learn from them.	within an hour	100%	97%	t	https://a0.muscache.com/im/pictures/user/c2d77835-fab6-45f9-a3ef-ef570dda44a5.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/c2d77835-fab6-45f9-a3ef-ef570dda44a5.jpg?aki_policy=profile_x_medium	Ipanema	11.0	32.0	['email', 'phone', 'work_email']	t	t	Ipanema, Rio de Janeiro, Brazil	Ipanema	-22.98591	-43.20302	Entire rental unit	Entire home/apt	13	7 baths	6.0	7.0	["BBQ grill", "Hangers", "Paid dryer \u2013 In unit", "Carbon monoxide alarm", "Paid parking off premises", "Cooking basics", "Private entrance", "Shampoo", "Room-darkening shades", "Bed linens", "Sea view", "40\" HDTV with Chromecast, premium cable", "Microwave", "Pack \u2019n play/Travel crib", "Wifi", "AC - split type ductless system", "Smoke alarm", "Dishes and silverware", "Hair dryer", "Private patio or balcony", "Coffee maker", "Crib", "Iron", "Fire extinguisher", "Long term stays allowed", "Beach view", "Essentials", "Baby bath", "Refrigerator", "Stove", "Host greets you", "Hot water", "Oven", "Kitchen", "Luggage dropoff allowed", "Extra pillows and blankets"]	3448.0	2	89	2	5	89	89	2.4	89.0	t	13	27	48	306	2023-09-22	152	30	4	2011-03-02	2023-09-10	4.74	4.69	4.69	4.82	4.81	4.94	4.59	t	9	8	1	0.99

	id	listing_url	last_scraped	source	name	description	neighborhood_overview	picture_url	host_id	host_url	host_name	host_since	host_location	host_about	host_response_time	host_response_rate	host_acceptance_rate	host_is_superhost	host_thumbnail_url	host_picture_url	host_neighbourhood	host_listings_count	host_total_listings_count	host_verifications	host_has_profile_pic	host_identity_verified	neighbourhood	neighbourhood_cleansed	latitude	longitude	property_type	room_type	accommodates	bathrooms_text	bedrooms	beds	amenities	price	minimum_nights	maximum_nights	minimum_minimum_nights	maximum_minimum_nights	minimum_maximum_nights	maximum_maximum_nights	minimum_nights_avg_ntm	maximum_nights_avg_ntm	has_availability	availability_30	availability_60	availability_90	availability_365	calendar_last_scraped	first_review	last_review	review_scores_rating	review_scores_accuracy	review_scores_cleanliness	review_scores_checkin	review_scores_communication	review_scores_location	review_scores_value	instant_bookable	calculated_host_listings_count	calculated_host_listings_count_entire_homes	calculated_host_listings_count_private_rooms	reviews_per_month
31952	984813172702446479	https://www.airbnb.com/rooms/984813172702446479	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 2 beds · 2 baths	o grupo ter fcil acesso a tudo o que precisar neste lugar com excelente localizao utenslios domsticos o flat com com fogo a gs para no ficar refem a comida da rua utenslios bsicos the spaceflat funcional tima localizao condomnio seguro voltado para rea empresarial recepo horas conhea nosso espaco ser um prazer em lhe ter como hspede other things to noteflat com sistema de hotel restaurante dentro do condomnio onde poder usar full time	no_info	https://a0.muscache.com/pictures/prohost-api/Hosting-984813172702446479/original/0c637234-7cca-497c-b3fe-9af83bc8e450.jpeg	503285061	https://www.airbnb.com/users/show/503285061	Pedro	2023-02-28	Rio de Janeiro, Brazil	Sou uma pessoa , ligada aí desafios , gosto do novo , seja bem vindo	within an hour	100%	96%	t	https://a0.muscache.com/im/pictures/user/User-503285061/original/3974b853-e8c6-4012-afac-7df1dbbe0ddf.jpeg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/User-503285061/original/3974b853-e8c6-4012-afac-7df1dbbe0ddf.jpeg?aki_policy=profile_x_medium	Jacarepaguá	17.0	20.0	['email', 'phone']	t	t	no_info	Camorim	-22.981866	-43.423547	Entire rental unit	Entire home/apt	6	2 baths	1.0	2.0	["Free parking on premises", "First aid kit", "Kitchen", "Hair dryer", "Dedicated workspace", "Washer", "TV", "Carbon monoxide alarm", "Air conditioning", "Fire extinguisher", "Pets allowed", "Wifi", "Smoke alarm", "Cooking basics"]	285.0	1	89	1	3	89	89	1.1	89.0	t	30	60	90	364	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	t	17	17	0	no_info
31954	984840932646693948	https://www.airbnb.com/rooms/984840932646693948	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 1 bed · 1 bath	apzinho em santa teresa ideal para quem busca passar uma temporada ou aproveitar o fim de semana em um dos bairros mais encantadores da regio central do rioo ambiente aconchegante bem iluminado e equipado com o necessrio para uma estadia confortvel prximo lapa mercearia bares restaurantes e outros pontos de interesse localambiente sem discriminao pessoas lgbtqia e progressistas de todos os lugares do mundo so mais que bemvindas qualquer dvida s mandar uma mensagem	no_info	https://a0.muscache.com/pictures/miso/Hosting-984840932646693948/original/c9da5996-5644-4e59-9559-ce8b05de5068.jpeg	72765617	https://www.airbnb.com/users/show/72765617	Suzany	2016-05-18	Rio de Janeiro, Brazil	no_info	no_info	no_info	no_info	f	https://a0.muscache.com/im/pictures/user/User-72765617/original/7193f243-6433-41c7-b7fe-9c847c88a23d.png?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/User-72765617/original/7193f243-6433-41c7-b7fe-9c847c88a23d.png?aki_policy=profile_x_medium	Centro	1.0	2.0	['email', 'phone']	t	f	no_info	Santa Teresa	-22.913460	-43.192810	Entire rental unit	Entire home/apt	4	1 bath	1.0	1.0	["Essentials", "Dedicated workspace", "Hangers", "Smoking allowed", "Washer", "Hot water", "Kitchen", "Luggage dropoff allowed", "Wifi"]	127.0	1	365	1	1	365	365	1.0	365.0	t	30	60	90	270	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	t	1	1	0	no_info
31956	984914648490130890	https://www.airbnb.com/rooms/984914648490130890	2023-09-22	city scrape	Home in Rio de Janeiro · ★New · 1 bedroom · 2 beds · 1 bath	nossa casa uma aconchegante residncia localizada no alto do vidigal prximo as vistas deslumbrantes para o mar e acesso fcil s praias da regio prximo a trilha dois irmos quartos confortveis uma decorao acolhedora e uma atmosfera descontrada e familiar perfeita para relaxar aps um dia de explorao na cidade alm disso estamos disponveis para dar dicas sobre os melhores lugares para visitar restaurantes e atividades culturais durante a sua estadia no vidigal e no rj	no_info	https://a0.muscache.com/pictures/miso/Hosting-984914648490130890/original/5c355dbd-6452-4dc7-964c-1a966d628234.jpeg	72723753	https://www.airbnb.com/users/show/72723753	Isabela	2016-05-18	Rio de Janeiro, Brazil	no_info	no_info	no_info	no_info	f	https://a0.muscache.com/im/pictures/user/8ce01287-0b0e-4949-bb86-146ad21f5015.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/8ce01287-0b0e-4949-bb86-146ad21f5015.jpg?aki_policy=profile_x_medium	Vidigal	1.0	2.0	['phone']	t	t	no_info	Vidigal	-22.995969	-43.244805	Private room in home	Private room	2	1 bath	1.0	2.0	["Dedicated workspace", "BBQ grill", "Coffee", "Cooking basics", "Baking sheet", "Wine glasses", "Bed linens", "Washer", "Wifi", "Drying rack for clothing", "Dishes and silverware", "Barbecue utensils", "Cleaning products", "Hair dryer", "TV", "Iron", "Outdoor dining area", "Dining table", "Toaster", "Blender", "Essentials", "Gas stove", "Hot water", "Extra pillows and blankets", "Kitchen", "Stainless steel oven", "Air conditioning"]	119.0	1	365	1	1	365	365	1.0	365.0	t	29	59	89	269	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	f	1	0	1	no_info
31957	984954786867790689	https://www.airbnb.com/rooms/984954786867790689	2023-09-23	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 1 bed · 1 bath	fica quase p na areia no baixo copa aqui tem tudo perto metro ponto de txi mercado embaixo e outros bem prximos uma variedade de farmcia e hospitais alem de uma rede excelente de bares e restaurante um povo acolhedor e animado tranquilo na sala tem um sof cama com uma cama auxiliar	no_info	https://a0.muscache.com/pictures/f1f0cd35-eacb-4981-8ab8-3bd5c453f926.jpg	83378610	https://www.airbnb.com/users/show/83378610	Rodeslir Nunes De	2016-07-12	Rio de Janeiro, Brazil	Doida e Feliz. kkkk	within a few hours	100%	60%	f	https://a0.muscache.com/im/pictures/user/e718f398-6db5-4de7-9b17-809f0329604d.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/e718f398-6db5-4de7-9b17-809f0329604d.jpg?aki_policy=profile_x_medium	Copacabana	4.0	4.0	['email', 'phone']	t	t	no_info	Copacabana	-22.975583	-43.189244	Entire rental unit	Entire home/apt	4	1 bath	1.0	1.0	["Washer", "TV", "Wifi", "Kitchen"]	700.0	1	365	1	1	365	365	1.0	365.0	t	29	53	83	252	2023-09-23	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	f	2	2	0	no_info
31958	984978374428458039	https://www.airbnb.com/rooms/984978374428458039	2023-09-23	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 1 bed · 2 baths	relaxe neste espao calmo e cheio de estilo apartamento no bairro mais acolhedor e jovem do rio de janeiro rua sem sada com segurana lindamente arborizada silncio absoluto considerada a rua mais tranquila do leme esse bairro pequeno mas oferece tudo que um viajante pode precisar mercados padaria farmcia restaurantes hortifruti ponto de nibus lojinhas e a praia mais gostosa da zona sul o apt fica a m da praia quartinho com banheiro ao lado dois colches e at rede	Apartamento no bairro mais acolhedor e jovem do Río de Janeiro! Rua sem saída com segurança. Lindamente arborizada, silêncio absoluto, considerada a rua mais tranquila do Leme! Esse bairro é pequeno mas oferece tudo que um viajante pode precisar! Mercados, padaria, farmácia, restaurantes, hortifruti, ponto de ônibus, lojinhas e a praia mais gostosa da zona sul! O apt fica a 400 m da praia .	https://a0.muscache.com/pictures/miso/Hosting-984978374428458039/original/9d114138-a6d8-48e0-bfa9-68f5bbed4ee2.jpeg	102525788	https://www.airbnb.com/users/show/102525788	Letícia	2016-11-04	Rio de Janeiro, Brazil	no_info	within a few hours	90%	33%	f	https://a0.muscache.com/im/pictures/user/User-102525788/original/1ecd3531-9d52-4c46-8624-f062ce09f37f.jpeg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/User-102525788/original/1ecd3531-9d52-4c46-8624-f062ce09f37f.jpeg?aki_policy=profile_x_medium	no_info	2.0	3.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Leme	-22.962480	-43.173710	Private room in rental unit	Private room	2	2 baths	1.0	1.0	["Free parking on premises", "Dedicated workspace", "Smoking allowed", "Washer", "TV", "Fire extinguisher", "Kitchen", "Wifi", "Smoke alarm"]	102.0	1	365	1	1	365	365	1.0	365.0	t	21	44	73	241	2023-09-23	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	f	2	0	2	no_info
31959	985064291460771751	https://www.airbnb.com/rooms/985064291460771751	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 1 bed · 1 bath	relaxe com toda a famlia nesta acomodao tranquila	no_info	https://a0.muscache.com/pictures/hosting/Hosting-985064291460771751/original/89627e99-bb16-4e73-b2cb-e0b4df261d43.jpeg	401842074	https://www.airbnb.com/users/show/401842074	Nayana	2021-05-16	Rio de Janeiro, Brazil	Olá! Me chamo Nayana, sou casada e mãe de Pet! Gosto muito de passear, viajar e dar uma bela caminhada na praia curtindo a orla! Sou uma pessoa receptiva e comunicativa! Espero que gostem e aprovem a estadia nos apartamentos disponíveis! Sua avaliação será muito importante pra mim! Obrigada pela sua visita! Voltem sempre que puder! Beijinhos	within an hour	100%	63%	f	https://a0.muscache.com/im/pictures/user/4ab135fa-455c-4a5d-ac22-23a484d06855.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/4ab135fa-455c-4a5d-ac22-23a484d06855.jpg?aki_policy=profile_x_medium	Barra da Tijuca	26.0	27.0	['phone']	t	t	no_info	Barra da Tijuca	-23.009810	-43.344824	Entire rental unit	Entire home/apt	2	1 bath	1.0	1.0	["Beach access", "Cooking basics", "Pool", "Pool table", "Free parking on premises", "Sea view", "Washer", "Pool view", "Wifi", "Ocean view", "Dishes and silverware", "Courtyard view", "Exercise equipment", "Outdoor shower", "TV", "Lake access", "Beach view", "City skyline view", "Essentials", "Smoking allowed", "Kitchen", "Air conditioning"]	400.0	2	30	2	5	30	30	2.1	30.0	t	27	57	87	129	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	f	24	24	0	no_info
31960	985340991466900379	https://www.airbnb.com/rooms/985340991466900379	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★New · 2 bedrooms · 2 beds · 2 baths	helloseason apartment exclusive electronic lock up to people cable tv wifi air conditioning full close to the beach it is on rua santa clara copacabana close to transport shops and services the region is very charming well frequented and with many shops and interesting places to eat and visitevery days we change bed and bath linen just ask ok count on us to plan your trip tips tickets and laundrythe spaceyour accommodation has double bed sofa cable tv wifi air conditioner household items and hot waterduring your stay we can change bed and bath sheets at each days please let us know prior to day as you want itat the neighboorhood you are close to the mall local buzz beautiful views ipanema and transport options shops and banks close to the beach residential building cozy ideal for families who come to relax and even workguest accessbr	Copacabana is a 24/7 neighborhood and very charming!<br /><br />You will be a few steps to one of the most famous beaches in the world, local shops, pharmacies, markets, street markets, not to mention the main transport in the city: taxi, uber, bus and subway. From the airports it is about 20 minutes from the SDU and 50 minutes from the GIG.<br /><br />In the surroundings there are restaurants from cheap to charming, as well as markets, pharmacies, shops and everything you might need in an ordinary neighborhood, practically 24 hours a day.<br /><br />Count on us for anything you need tickets or questions about the city!	https://a0.muscache.com/pictures/prohost-api/Hosting-985340991466900379/original/7ec9473b-f400-45e2-9f62-586212e80879.jpeg	30165706	https://www.airbnb.com/users/show/30165706	Yes Temporada	2015-03-28	Rio de Janeiro, Brazil	Olá! Bem vindos!\n\nSomos a Yes Temporada, Anfitriões Profissionais desde 2008!\n\nImagina que você pode se hospedar com Qualidade de Hotel e Preço de Temporada? Privacidade, Higiene e Qualidade associadas ao Preço. É o melhor dos mundos!\n\nTodos os nossos apartamentos são destinados a hospedar viajantes e gerenciados de Segunda a Sábado por uma equipe que trabalha com muito carinho para garantir a melhor experiência aos hóspedes!\n\nPensamos que os espaços devem ser exclusivos, confortáveis e equipados, com tudo a seu serviço! Queremos que cada hóspede possa contar conosco para tudo que precisar na cidade e se sinta em casa! Nada como contar suporte ou ajuda quando se está fora de casa, né?\n\nSe você é uma empresa e precisa de nota fiscal ou fatura, podemos emitir!\n\nSomos um orgulhoso membro do BNI, no Rio de Janeiro. Se você é do BNI também, nos avise e teremos um prazer enorme me lhe presentear!\n \nEntre e experimente o Rio de perto!\n\n*\n\nHello! Welcome!\n\nWe are Yes Temporada, Professional Hosts since 2008!\n\nImagine you can try Hotel Quality in a Holiday Apartment? Privacy, Cleaning and Quality associated with Price. It's the best of all worlds!\n\nAll of our apartments are designed to host travelers and managed from Monday to Saturday by a team that works with great care to ensure the best experience for guests!\n\nWe believe that spaces shall be exclusive, comfortable and equipped, with everything at your service! We want each guest to count on us for everything at the city and feel home! Nothing like counting support or help when you're away from home, right?\n\nIf you´re a company and need a ticket or invoice, please let us know, we can print it for you, ok?\n\nWe are a Proud BNI member at Rio de Janeiro. If you are a BNI Member also, let us know and we will grant you with a gift!\n \nGet in and experience Rio up close!\n\n*\n\n¡Hola! ¡ Bienvenido!\n\n¡Somos Yes Temporada, Anfitriónes Profissionales desde 2008!\n\n¿Imagina que puede alojarse en un apartamento de vacaciones, pero tiene la certeza de un estándar de hotel? Privacidad, Aseo y Calidad asociadas con el precio. ¡Es el mejor de todos los mundos!\n\nTodos nuestros apartamentos son propiedades diseñadas para recibir viajeros y administradas de lunes a sábado por un equipo que trabaja con gran cuidado para garantizar la mejor experiencia para los huéspedes.\n\n¡Creemos que los espacios deben ser exclusivos, cómodos y equipados, con todo a su servicio! ¡Queremos que cada huésped cuente con nosotros para todo lo que necesita en la ciudad y sentirse como en casa! Nada como contar apoyo o ayuda cuando estás lejos de casa, ¿verdad?\n\nSi eres una empresa y necesita factura, hablanos y teremos placer en emitir!\n\nSomos un miembro orgulloso del BNI en Río de Janeiro. Si usted también es un miembro BNI, háganos saber y tenemos um regallo para usted!\n \n¡Entra y experimenta Río de cerca!\n	within an hour	99%	100%	f	https://a0.muscache.com/im/pictures/user/da4143cd-6939-4e65-b412-4f7990518552.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/da4143cd-6939-4e65-b412-4f7990518552.jpg?aki_policy=profile_x_medium	Copacabana	74.0	76.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Copacabana	-22.965580	-43.192590	Entire rental unit	Entire home/apt	4	2 baths	2.0	2.0	["Dedicated workspace", "BBQ grill", "Hangers", "Carbon monoxide alarm", "Beach essentials", "Paid parking off premises", "Free street parking", "Pets allowed", "Elevator", "Outlet covers", "Cooking basics", "Pool", "Free parking on premises", "Shampoo", "Room-darkening shades", "Bed linens", "Backyard", "Pocket wifi", "Microwave", "Paid parking on premises", "Pack \u2019n play/Travel crib", "Wifi", "Smoke alarm", "Dishes and silverware", "Ethernet connection", "Hair dryer", "Coffee maker", "Iron", "Fire extinguisher", "Long term stays allowed", "Toaster", "Essentials", "TV with standard cable", "Refrigerator", "Stove", "Hot water", "Extra pillows and blankets", "Oven", "Air conditioning", "Kitchen", "Luggage dropoff allowed", "Baby safety gates"]	427.0	2	90	2	7	90	90	3.2	90.0	t	23	44	74	349	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	t	67	64	3	no_info
31961	985507696630141934	https://www.airbnb.com/rooms/985507696630141934	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 1 bed · 1 bath	o aparthotel villa del sol fica localizado na praia do pontal e oferece piscinas sauna restaurante garagem e acomodaes completas com uma vista deslumbrante para o mar a proximidade com as praias da barra grumari e prainha fazem todo o diferencial alm da facilidade de estar perto de shoppings e vasto comrcio o apto contm quarto sala com cozinha americana banheiro varanda ar condicionado wifi e tv a cabo o aluguel pode ser mensal ou diria	no_info	https://a0.muscache.com/pictures/hosting/Hosting-985507696630141934/original/ba5b7966-2e07-4505-ab79-0326a4d0f9bf.jpeg	416337225	https://www.airbnb.com/users/show/416337225	Claudio	2021-08-01	Rio de Janeiro, Brazil	Nossa famlia sempre gostou de acolher, conhecer gente nova, empreender e desbravar outros mundos.\n\n Depois de tantos anos entre dois continentes, ja nao era a hora de poder experimentar o que sempre fizemos juntos : receber gente em nossa casa com simplicidade e o melhor que podemos oferecer !\n\nSejam bem-vindos à nosso cantinho de amor ! \n\nClaudio, Tati e Vânia\n	no_info	no_info	0%	f	https://a0.muscache.com/im/pictures/user/5fa2f746-c8fa-481d-bd5e-e5a7e7f30b32.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/5fa2f746-c8fa-481d-bd5e-e5a7e7f30b32.jpg?aki_policy=profile_x_medium	no_info	2.0	3.0	['email', 'phone']	t	t	no_info	Recreio dos Bandeirantes	-23.028250	-43.499430	Entire rental unit	Entire home/apt	4	1 bath	1.0	1.0	["Beach view", "Kitchen", "Beach access", "TV", "Carbon monoxide alarm", "Air conditioning", "Fire extinguisher", "Paid parking on premises", "Wifi", "Smoke alarm"]	479.0	2	365	2	5	365	365	2.1	365.0	t	29	59	89	269	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	f	2	2	0	no_info
31962	985510361579508644	https://www.airbnb.com/rooms/985510361579508644	2023-09-22	city scrape	Rental unit in Rio de Janeiro · ★New · 2 bedrooms · 4 beds · 3 baths	apartamento amplo com uma vaga de garagem localizado em um dos melhores pontos de ipanema a apenas quatro quarteires da praia minutos a p a duas quadras da lagoa rodrigo de freitas mais um dos cartes postais da cidade a propriedade tem quartos amplos sendo um uma sute cozinha completa e funcional sala com mesa de jantar smart tv sof cama sala bem iluminada e ventilada trazendo uma sensao de conexo com o natureza wifi rpido ar condicionado nos quartos ventiladorthe spacesala ampla ambientes sof cama um living mesa de jantar pessoas uma mesa bistr pessoas e smart tv grandesute com cama de casal amplo guardaroupa roupas de cama travesseiro e tolhas quarto com duas camas de solteiro arcondicionado e ventilador de teto guardaroupa grandecozinha com conjunto de panelas talheres copos canecas e outros utenslios alm de liquidificador microondas cafete	Rua residencial tranquila, a 4 quarteirões da praia (6minutos a pé). Nosso prédio fica ao lado de uma padaria maravilhosa com almoço e itens básicos, nas rua paralelas, você encontrará o coração comercial do bairro de Ipanema com tudo o que você precisa para ter uma excelente experiência no bairro: farmácias 24 horas, restaurantes, bares, shoppings, mercados, bancas de jornal, além das feiras gastronômicas tradicionais e artesanato que são organizados uma vez por semana nas praças do bairro. Destaca-se que esta é uma rua segura, familiar e rica em movimento.	https://a0.muscache.com/pictures/hosting/Hosting-985510361579508644/original/c368392e-f0fd-446e-91fa-2bcfdb1c505f.jpeg	501556443	https://www.airbnb.com/users/show/501556443	Camila	2023-02-17	Rio de Janeiro, Brazil	Sou apaixonada pela vida e pelo ser humano. Bora viver intensamente!!	no_info	no_info	no_info	f	https://a0.muscache.com/im/pictures/user/User-501556443/original/aeb952c2-9511-4e72-9461-6122fe8672cc.jpeg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/User-501556443/original/aeb952c2-9511-4e72-9461-6122fe8672cc.jpeg?aki_policy=profile_x_medium	Ipanema	1.0	4.0	['email', 'phone']	t	t	Rio de Janeiro, Brazil	Ipanema	-22.981860	-43.200388	Entire rental unit	Entire home/apt	5	3 baths	2.0	4.0	["Free parking on premises", "Host greets you", "TV", "Kitchen", "Pets allowed", "Wifi", "Air conditioning"]	582.0	2	120	2	2	120	120	2.0	120.0	t	30	60	90	169	2023-09-22	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	t	1	1	0	no_info
31963	985555107088259155	https://www.airbnb.com/rooms/985555107088259155	2023-09-23	city scrape	Rental unit in Rio de Janeiro · ★New · 1 bedroom · 3 beds · 1 bath	other things to noteseason rentals rio with sqm divided into bedroom living room bathroom and kitchenequipped with double bed single bed lcd tv and air conditioningadditional services such as wireless internet and cable tv are already included in the price of our rio season rentalsthis rio de janeiro vacation rental apartment in copacabana is located in a secure building with hour conciergethe location of this vacation rental apartment in rio offers complete infrastructure for touristshaving around supermarkets atms restaurants and public transportationthis apartment is a great vacation rental option for couples singles or small families	no_info	https://a0.muscache.com/pictures/prohost-api/Hosting-985555107088259155/original/e49e96a5-fb6c-44b5-9ec8-87fca3659b27.jpeg	171256195	https://www.airbnb.com/users/show/171256195	Rio Rentals 021	2018-02-02	Rio de Janeiro, Brazil	Olá, somos a Rio Rentals 021, a alguns anos trabalhamos ajudando pessoas a encontrarem lugares ideais para passarem suas férias, sempre sendo prestativo e atencioso com as necessidades dos hóspedes	within an hour	100%	99%	f	https://a0.muscache.com/im/pictures/user/ab467d5a-100a-43de-97f4-40c638c085b8.jpg?aki_policy=profile_small	https://a0.muscache.com/im/pictures/user/ab467d5a-100a-43de-97f4-40c638c085b8.jpg?aki_policy=profile_x_medium	Copacabana	5.0	7.0	['email', 'phone']	t	t	no_info	Copacabana	-22.962774	-43.175722	Entire rental unit	Entire home/apt	4	1 bath	1.0	3.0	["Bed linens", "TV with standard cable", "Refrigerator", "Smoking allowed", "Microwave", "Iron", "Kitchen", "Pets allowed", "Wifi", "Elevator", "Air conditioning"]	202.0	1	90	1	10	90	1125	1.4	584.9	t	27	50	80	139	2023-09-23	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	no_info	t	4	4	0	no_info

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